Dissertations / Theses on the topic 'Tracking'
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1
Du, Plessis Pierre. "Tracking knowledge : science, tracking and technology." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/14263.
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Includes bibliographical references (leaves 76-79).Knowledges are not distinct entities. They cannot be held in isolation as if bounded, discrete, or systematic. They are far too dynamic and complex to be thought of in this way. 'Scientific' and 'Indigenous' knowledge, however, are often discussed polemically and held in dialogical tension against one another. They are part of a set of dualisms that work under certain universal assumptions critical to Western epistemology. These dualisms include modernity/tradition; nature/culture; and subject/object. This study examines the multiple perspectives, including both scientists and local trackers, involved in the Western Kgalagadi Conservation Corridor Project (WKCC) in an attempt to resolve some of these dualisms. It focuses on the dimensions of tracking animals and data collection with a GPS technology known as 'Cybertracker'. Involving both scientists and people from the Kalahari with knowledge of tracking animals, the dynamics of knowledge production and the movement of knowledge are explored. Their work together demonstrates ways that movement and embodiment are central to the production of knowledge. Knowledge production and the relationship between diverse knowledges and approaches in the WKCC project are investigated without reducing them to the same epistemological foundation or holding them in dualistic opposition. Knowledges become part of networks and engage with one another through their movement, embodiment, and interaction with various non-human subject-objects. The use of the Cybertracker databasing technology shows that an engagement of multiple perspectives, the significance of movement, performance, historical connections, and subject-object relations in a variety of contexts are key to understanding the production of knowledge. The movement, agency, and relatedness demonstrated in various 'knowledge objects', including data, shows that the complexities involve a continual exchange of influence in which knowledges are always changing. The presence of diverse knowledges, expressed in both their relatedness and their tensions, are evident in their very movement in these networks as actors and the interwoven trails they leave behind. In the process, the boundaries between the dualisms become blurred, if not irrelevant.
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Kohl, Lyn Julia. "Blutdruck-Tracking." Diss., lmu, 2008. http://nbn-resolving.de/urn:nbn:de:bvb:19-90476.
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Danelljan, Martin. "Visual Tracking." Thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-105659.
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Visual tracking is a classical computer vision problem with many important applications in areas such as robotics, surveillance and driver assistance. The task is to follow a target in an image sequence. The target can be any object of interest, for example a human, a car or a football. Humans perform accurate visual tracking with little effort, while it remains a difficult computer vision problem. It imposes major challenges, such as appearance changes, occlusions and background clutter. Visual tracking is thus an open research topic, but significant progress has been made in the last few years. The first part of this thesis explores generic tracking, where nothing is known about the target except for its initial location in the sequence. A specific family of generic trackers that exploit the FFT for faster tracking-by-detection is studied. Among these, the CSK tracker have recently shown obtain competitive performance at extraordinary low computational costs. Three contributions are made to this type of trackers. Firstly, a new method for learning the target appearance is proposed and shown to outperform the original method. Secondly, different color descriptors are investigated for the tracking purpose. Evaluations show that the best descriptor greatly improves the tracking performance. Thirdly, an adaptive dimensionality reduction technique is proposed, which adaptively chooses the most important feature combinations to use. This technique significantly reduces the computational cost of the tracking task. Extensive evaluations show that the proposed tracker outperform state-of-the-art methods in literature, while operating at several times higher frame rate. In the second part of this thesis, the proposed generic tracking method is applied to human tracking in surveillance applications. A causal framework is constructed, that automatically detects and tracks humans in the scene. The system fuses information from generic tracking and state-of-the-art object detection in a Bayesian filtering framework. In addition, the system incorporates the identification and tracking of specific human parts to achieve better robustness and performance. Tracking results are demonstrated on a real-world benchmark sequence.
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Bostad, Ingvild Haraldsen. "3D Speckle-Tracking : Sub-voxel Techniques and Tracking Accuracy." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9465.
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Speckle tracking is a method that is useful for examining myocardial function. The method allows the cardiologist examine the left ventricular wall function when there are indications of a myocardial infarction. The method is well developed and in diagnostic use for 2D cardiac ultrasound imaging. Different techniques for sub sample interpolation is investigated and tested. Sub sample methods can be useful due to the fact that they allow the tracking algorithm to track smaller displacements. The assessment is based on four dimensional ultrasound images of a tissue phantom, with time being the fourth dimension. Tracking in 3D ultrasound images is useful for being able to track those points in a 2D ultrasound image that moves in and out of the 2D imaging plane during a heart cycle. Good tracking in several dimensions demands good resolution ultrasound images. The resolution needs to be sufficiently good in both lateral and axial directions. This is needed to be able to track in sub pixel distances. To accomplish this, one needs to find techniques for sub pixel resolution and to find how these affects the quality of the sampling. The results indicate that interpolation improve the tracking accuracy. This is consistent for all the different interpolation methods, but not for the different depths in the ultrasound images nor for the different ultrasound images.
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Stigson, Magnus. "Object Tracking Using Tracking-Learning-Detection inThermal Infrared Video." Thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93936.
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Automatic tracking of an object of interest in a video sequence is a task that has been much researched. Difficulties include varying scale of the object, rotation and object appearance changing over time, thus leading to tracking failures. Different tracking methods, such as short-term tracking often fail if the object steps out of the camera’s field of view, or changes shape rapidly. Also, small inaccuracies in the tracking method can accumulate over time, which can lead to tracking drift. Long-term tracking is also problematic, partly due to updating and degradation of the object model, leading to incorrectly classified and tracked objects. This master’s thesis implements a long-term tracking framework called Tracking-Learning-Detection which can learn and adapt, using so called P/N-learning, to changing object appearance over time, thus making it more robust to tracking failures. The framework consists of three parts; a tracking module which follows the object from frame to frame, a learning module that learns new appearances of the object, and a detection module which can detect learned appearances of the object and correct the tracking module if necessary. This tracking framework is evaluated on thermal infrared videos and the results are compared to the results obtained from videos captured within the visible spectrum. Several important differences between visual and thermal infrared tracking are presented, and the effect these have on the tracking performance is evaluated. In conclusion, the results are analyzed to evaluate which differences matter the most and how they affect tracking, and a number of different ways to improve the tracking are proposed.
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Junler, Ludvig. "Evaluation of Tracking Filters for Tracking of Manoeuvring Targets." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166957.
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This thesis evaluates different solutions to the target tracking problem with the use of airborne radar measurements. The purpose of this report is to present and compare options that can improve the tracking performance when the target is performing various manoeuvres while the radar measurements are noisy. A simulation study is done to evaluate and compare the presented solutions, where the evaluating criteria are the estimation errors and the computational complexity. The algorithms investigated are the general pseudo Bayesian of order one (GPB(1)) filter and the interacting multiple model (IMM) filter, each using three motion models, along with several single model Kalman filters. Additionally, the impact on the tracking performance by different choices of radar parameters is also examined. The results show that filters using multiple models are best suited for tracking targets performing different manoeuvres. The tracking performance is improved with both the GPB(1) and IMM algorithms compared to the filters using a single model. Looking at the estimation errors, IMM outperforms the other algorithms and achieves a better general performance for different kinds of manoeuvres. However, IMM have a much higher computational complexity than the filters with a single model. GPB(1) could therefore be more suited for applications where computational power poses a problem, since it is less computationally demanding than IMM. Furthermore, it is shown that different radar parameters have an impact on the tracking performance. The choice of pulse repetition frequency (PRF) and duty cycle used by the radar affects the accuracy of the measurements. The estimation errors of the tracking filters become larger with poor measurements, which also makes it more difficult for the multiple model algorithms to make good use of the different motion models. In most cases, IMM is however less sensitive to the choice of PRF, in relation to how the models are used in the algorithm, compared to GPB(1). Nevertheless, the study shows that there are cases where some combinations of radar parameters drastically reduces the tracking performance and no clear improvement can be seen, not even for IMM.
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Broadus, Charles, Richard Siegal, Jack Kreng, and Theodore Moore. "EELV Incorporates GPS Metric Tracking as a Range Tracking Source." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581829.
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Currently, the Evolved Expendable Launch Vehicle (EELV) utilizes a communications, tracking, and control system that was developed at the inception of the space launch industry. The current system operation and large ground footprint have driven the United States Air Force (USAF) to embark on an initiative known as the Future Flight Safety System (FFSS) that will lead into a Space Based Range Concept. An important phase of FFSS is the implementation of Global Positioning System Metric Tracking (GPS MT) on all launch vehicles. Working in partnership, United Launch Alliance (ULA) and their USAF EELV customer have developed a common GPS MT solution for both the Atlas V and Delta IV Launch Vehicles.
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Kenington, P. B. "Tracking receiver design for the electronic 'beam squint' tracking system." Thesis, University of Bristol, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235772.
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Desai, Kalpit V. Bishop Gary. "Agnostic tracking nanoscale, high bandwidth, 3D particle tracking for biology /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,1883.
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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2007.Title from electronic title page (viewed Dec. 11, 2008). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the joint Department of Biomedical Engineering." Discipline: Biomedical Engineering; Department/School: Medicine.
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Zhu, Biwen. "Visual Tracking with Deep Learning : Automatic tracking of farm animals." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240086.
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Automatic tracking and video of surveillance on a farm could help to support farm management. In this project, an automated detection system is used to detect sows in surveillance videos. This system is based upon deep learning and computer vision methods. In order to minimize disk storage and to meet the network requirements necessary to achieve the real-performance, tracking in compressed video streams is essential. The proposed system uses a Discriminative Correlation Filter (DCF) as a classifier to detect targets. The tracking model is updated by training the classifier with online learning methods. Compression technology encodes the video data, thus reducing both the bit rates at which video signals are transmitted and helping the video transmission better adapt to the limited network bandwidth. However, compression may reduce the image quality of the videos the precision of our tracking may decrease. Hence, we conducted a performance evaluation of existing visual tracking algorithms on video sequences with quality degradation due to various compression parameters (encoders, target bitrate, rate control model, and Group of Pictures (GOP) size). The ultimate goal of video compression is to realize a tracking system with equal performance, but requiring fewer network resources. The proposed tracking algorithm successfully tracks each sow in consecutive frames in most cases. The performance of our tracker was benchmarked against two state-of-art tracking algorithms: Siamese Fully-Convolutional (FC) and Efficient Convolution Operators (ECO). The performance evaluation result shows our proposed tracker has similar performance to both Siamese FC and ECO. In comparison with the original tracker, the proposed tracker achieved similar tracking performance, while requiring much less storage and generating a lower bitrate when the video was compressed with appropriate parameters. However, the system is far slower than needed for real-time tracking due to high computational complexity; therefore, more optimal methods to update the tracking model will be needed to achieve real-time tracking.Automatisk spårning av övervakning i gårdens område kan bidra till att stödja jordbruket management. I detta projekt till ett automatiserat system för upptäckt upptäcka suggor från övervaknings filmer kommer att utformas med djupa lärande och datorseende metoder. Av hänsyn till Diskhantering och tid och hastighet Krav över nätverket för att uppnå realtidsscenarier i framtiden är spårning i komprimerade videoströmmar är avgörande. Det föreslagna systemet i detta projekt skulle använda en DCF (diskriminerande korrelationsfilter) som en klassificerare att upptäcka mål. Spårningen modell kommer att uppdateras genom att utbilda klassificeraren med online inlärningsmetoder. Compression teknik kodar videodata och minskar bithastigheter där videosignaler sänds kan hjälpa videoöverföring anpassar bättre i begränsad nätverk. det kan dock reducera bildkvaliteten på videoklipp och leder exakt hastighet av vårt spårningssystem för att minska. Därför undersöker vi utvärderingen av prestanda av befintlig visuella spårningsalgoritmer på videosekvenser Det ultimata målet med videokomprimering är att bidra till att bygga ett spårningssystem med samma prestanda men kräver färre nätverksresurser. Den föreslagna spårning algoritm spår framgångsrikt varje sugga i konsekutiva ramar i de flesta fall prestanda vår tracker var jämföras med två state-of-art spårning algoritmer:. Siamese Fully-Convolutional (FC) och Efficient Convolution Operators (ECO) utvärdering av prestanda Resultatet visar vår föreslagna tracker blir liknande prestanda med Siamese FC och ECO. I jämförelse med den ursprungliga spårningen uppnådde den föreslagna spårningen liknande spårningseffektivitet, samtidigt som det krävde mycket mindre lagring och alstra en lägre bitrate när videon komprimerades med lämpliga parametrar. Systemet är mycket långsammare än det behövs för spårning i realtid på grund av hög beräkningskomplexitet; därför behövs mer optimala metoder för att uppdatera spårningsmodellen för att uppnå realtidsspårning.
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White, Jacob Harley. "Real-Time Visual Multi-Target Tracking in Realistic Tracking Environments." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7486.
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This thesis focuses on visual multiple-target tracking (MTT) from a UAV. Typical state-of-the-art multiple-target trackers rely on an object detector as the primary detection source. However, object detectors usually require a GPU to process images in real-time, which may not be feasible to carry on-board a UAV. Additionally, they often do not produce consistent detections for small objects typical of UAV imagery.In our method, we instead detect motion to identify objects of interest in the scene. We detect motion at corners in the image using optical flow. We also track points long-term to continue tracking stopped objects. Since our motion detection algorithm generates multiple detections at each time-step, we use a hybrid probabilistic data association filter combined with a single iteration of expectation maximization to improve tracking accuracy.We also present a motion detection algorithm that accounts for parallax in non-planar UAV imagery. We use the essential matrix to distinguish between true object motion and apparent object motion due to parallax. Instead of calculating the essential matrix directly, which can be time-consuming, we design a new algorithm that optimizes the rotation and translation between frames. This new algorithm requires only 4 ms instead of 47 ms per frame of the video sequence.We demonstrate the performance of these algorithms on video data. These algorithms are shown to improve tracking accuracy, reliability, and speed. All these contributions are capable of running in real-time without a GPU.
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Bingol, Haluk Erdem. "Bearings Only Tracking." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613048/index.pdf.
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The basic problem with angle-only or bearings-only tracking is to estimate the
trajectory of a target (i.e., position and velocity) by using noise corrupted sensor
angle data. In this thesis, the tracking platform is an Aerial Vehicle and the target
is simulated as another Aerial Vehicle. Therefore, the problem can be defined as
a single-sensor bearings only tracking. The state consists of relative position and
velocity between the target and the platform. In the case where both the target
and the platform travel at constant velocity, the angle measurements do not
provide any information about the range between the target and the platform. The
platform has to maneuver to be able to estimate the range of the target. Two
problems are investigated and tested on simulated data. The first problem is
tracking non-maneuvering targets. Extended Kalman Filter (EKF), Range
Parameterized Kalman Filter and particle filter are implemented in order to track
non-maneuvering targets. As the second problem, tracking maneuvering targets
are investigated. An interacting multiple model (IMM) filter and different particle
filter solutions are designed for this purpose. Kalman filter covariance matrix
initialization and regularization step of the regularized particle filter are discussed
in detail.
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Kalal, Zdenek. "Tracking learning detection." Thesis, University of Surrey, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540948.
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Eagle, James. "Kinect Surface Tracking." Thesis, University of Canterbury. Physics and Astronomy, 2014. http://hdl.handle.net/10092/10283.
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A cost effective method for evaluating patient motion during external beam radiotherapy has been developed. This system consists of a 3D depth camera and tracking software. The system was tested using a range of custom built phantoms and motion platforms. Kinect v1 and v2 sensors were chosen for this project due to their low cost and high resolution as compared to other depth cameras. Various tracking algorithms were evaluated to determine the optimal method for the system.
Testing determined that the Kinect v2 was the more suitable sensor primarily due to the significantly lower depth variation of 0.6mm as compared to the Kinect v1 of 2.4mm. An analysis of tracking methods was performed and concluded that the least squares method provides the most accurate tracking in the clinical environment. This method is able to determine an object’s actual position accurate to 1.5mm 66% of the time.
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Hansen, Hedvik Louise. "Human Tracking System." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26769.
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This thesis is motivated by Statoil's wish to localize people operating inside an onshore or offshore production facility. There are especially two benefits of such systems. By monitoring an operator's exposure to noise, vibration and harmful gases, short and long term damages can be avoided. In addition, a localization system would provide employees with a higher degree of safety in case of emergency. The aim of this thesis is to develop a prototype system for localizing people indoors as well as outdoors with use of an inertial measurement unit. As a consequence, challenges such as drift and signal noise, as well as magnetic interference are directed. Since the IMU is subject to drift, investigations on different sensor configurations must be conducted. Collected sensor data from the hip-mounted IMU are used for step detection, step length estimation and heading determination. By combining the results from these three approaches, a positioning estimate for the human operator is calculated using dead reckoning. Dead reckoning is a positioning method for determining an objects location based on a former position, velocity and direction.Experiments indicated satisfying performance by both the implemented step detection algorithm and the step length estimation model. However, the heading determination is subject to magnetic interferences when the sensor is applied in an industrial area. In an indoors environment are position error 2-4 meters after 22 meters walking. Performance in an outdoors environment are significantly better, with a position error of 10 meter after 400 meters. Integrating the suggested solution with another positioning system will increase system performance indoors and thus fulfill the aim of this thesis.
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Harrigan, Edward. "Seismic event tracking." Thesis, University of Strathclyde, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267506.
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Braun, Stav. "Tracking multiple mice." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77001.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 59-62).
Monitoring mouse social behaviors over long periods of time is essential for neurobehavioral analysis of social mouse phenotypes. Currently, the primary method of social behavioral plienotyping utilizes human labelers, which is slow and costly. In order to achieve the high throughput desired for scientific studies, social behavioral phenotyping must be automated. The problem of automation can be divided into two tasks; tracking and phenotyping. First, individual body parts of mice must be accurately tracked. This is achieved using shape context descriptors to obtain precise point to point correspondences between templates and mice in any frame of a video. This method provides for greater precision and accuracy than current state of the art techniques. We propose a means by which this tracking information can be used to classify social behaviors between mice.
by Stav Braun.
M.Eng.
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Fuchs, Eric Michael. "Inertial head-tracking." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/11537.
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Girardey, Catherine C. "ESA Tracking Systems." International Foundation for Telemetering, 1992. http://hdl.handle.net/10150/611930.
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International Telemetering Conference Proceedings / October 26-29, 1992 / Town and Country Hotel and Convention Center, San Diego, CaliforniaThis paper presents the tracking systems currently used at ESA. Two systems are described: Meteosat Ranging System (MRS), and Multi-Purpose Tracking System (MPTS). The MRS is presently in operational use on Meteosat. It has been designed to meet the need for a simultaneous multi-point ranging in a channel shared with other services. As a result, a new code ranging technique, based on split-phase-level data formats, has been designed and developed. The MPTS (previously Deep Space Tracking System - DSTS) was first developed and deployed for the Giotto mission. At a later stage, a near-earth capability has been added to the system, thereby creating a truly multi-purpose tracking system. The ranging signal employed in the MPTS makes use of the good properties of both the PN code type of ranging system and the tone ranging system. The concept, architectural design, capabilities and performance of these systems are presented in this paper. Finally, insight into the European Data Relay Satellite and Data Relay User Satellite ranging systems is given.
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Poudel, Rudra P. K. "3D hand tracking." Thesis, Bournemouth University, 2014. http://eprints.bournemouth.ac.uk/21557/.
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The hand is often considered as one of the most natural and intuitive interaction modalities for human-to-human interaction. In human-computer interaction (HCI), proper 3D hand tracking is the first step in developing a more intuitive HCI system which can be used in applications such as gesture recognition, virtual object manipulation and gaming. However, accurate 3D hand tracking, remains a challenging problem due to the hand’s deformation, appearance similarity, high inter-finger occlusion and complex articulated motion. Further, 3D hand tracking is also interesting from a theoretical point of view as it deals with three major areas of computer vision- segmentation (of hand), detection (of hand parts), and tracking (of hand). This thesis proposes a region-based skin color detection technique, a model-based and an appearance-based 3D hand tracking techniques to bring the human-computer interaction applications one step closer. All techniques are briefly described below. Skin color provides a powerful cue for complex computer vision applications. Although skin color detection has been an active research area for decades, the mainstream technology is based on individual pixels. This thesis presents a new region-based technique for skin color detection which outperforms the current state-of-the-art pixel-based skin color detection technique on the popular Compaq dataset (Jones & Rehg 2002). The proposed technique achieves 91.17% true positive rate with 13.12% false negative rate on the Compaq dataset tested over approximately 14,000 web images. Hand tracking is not a trivial task as it requires tracking of 27 degreesof- freedom of hand. Hand deformation, self occlusion, appearance similarity and irregular motion are major problems that make 3D hand tracking a very challenging task. This thesis proposes a model-based 3D hand tracking technique, which is improved by using proposed depth-foreground-background ii feature, palm deformation module and context cue. However, the major problem of model-based techniques is, they are computationally expensive. This can be overcome by discriminative techniques as described below. Discriminative techniques (for example random forest) are good for hand part detection, however they fail due to sensor noise and high interfinger occlusion. Additionally, these techniques have difficulties in modelling kinematic or temporal constraints. Although model-based descriptive (for example Markov Random Field) or generative (for example Hidden Markov Model) techniques utilize kinematic and temporal constraints well, they are computationally expensive and hardly recover from tracking failure. This thesis presents a unified framework for 3D hand tracking, using the best of both methodologies, which out performs the current state-of-the-art 3D hand tracking techniques. The proposed 3D hand tracking techniques in this thesis can be used to extract accurate hand movement features and enable complex human machine interaction such as gaming and virtual object manipulation.
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Olsson, Matilda, and Rebecca Sahlén. "Automatiserad Motion Tracking." Thesis, KTH, Skolan för teknik och hälsa (STH), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190999.
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Hjärnskador är vanligt förekommande inom ishockey och för att kunna utveckla bättre skyddsutrustning krävs information om kroppens rörelse. Med hjälp av motion tracking kan man få fram rörelsers och kollisioners hastigheter. Automatiserad motion tracking skulle kunna utesluta felkällor till följd av användare etc. Två olika Matlabprogram för motion tracking rekonstruerades för att undersöka möjligheten att i framtiden automatisera tekniken. Leonid Sigal, forskare vid Disney research Pittsburgh, har utvecklat ett program som gick att rekonstruera och använda på utvalda videosekvenser. För att uppnå korrekt motion tracking måste initialiseringen för varje videosekvens beräknas.Brain injuries are common in ice hockey and knowledge about the body and its movement is necessary to develop safety equipment to prevent such injuries. The velocity of the movement in collisions can be detected with motion tracking. Automatic motion tracking can reduce the impact of error sources such as those caused by the user. Two different Matlab programs were reconstructed to analyse the possibilities to develop an automatic technique for motion tracking. Leonid Sigal, scientist at Disney research Pittsburgh, has developed one of the programs for motion tracking. It was possible to reconstruct his program and use it for selected video sequences. Initial values for each video sequence had to be calculated to achieve accurate motion tracking.
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Hulot, Carlos. "Parallel tracking systems." Thesis, University of Southampton, 1995. https://eprints.soton.ac.uk/264882/.
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Tracking Systems provide an important analysis technique that can be used in many different areas of science. A Tracking System can be defined as the estimation of the dynamic state of moving objects based on `inaccurate’ measurements taken by sensors. The area encompasses a wide range of subjects, although the two most essential elements are estimation and data association. Tracking systems are applicable to relatively simple as well as more complex applications. These include air traffic control, ocean surveillance and control sonar tracking, military surveillance, missile guidance, physics particle experiments, global positioning systems and aerospace. This thesis describes an investigation into state-of-the-art tracking algorithms and distributed memory architectures (Multiple Instructions Multiple Data systems - “MIMD”) for parallel processing of tracking systems. The first algorithm investigated is the Interacting Multiple Model (IMM) which has been shown recently to be one of the most cost-effective in its class. IMM scalability is investigated for tracking single targets in a clean environment. Next, the IMM is coupled with a well-established Bayesian data association technique known as Probabilistic Data Association (PDA) to permit the tracking of a target in different clutter environments (IMMPDA). As in the previous case, IMMPDA scalability is investigated for tracking a single target in different clutter environments. In order to evaluate the effectiveness of these new parallel techniques, standard languages and parallel software systems (to provide message-passing facilities) have been used. The main objective is to demonstrate how these complex algorithms can benefit in the general case from being implemented using parallel architectures.
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Shaheen, Aliah Faisal. "Tracking scapular movement." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/5685.
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Measuring the three-dimensional movement of the scapula provides vital information in the analysis and treatment of shoulder clinical disorders and contributes to our understanding of its complex kinematics. However, the thick layer of skin overlying the scapular region means that all skin-based techniques inaccurately determine the scapular kinematics. The scapula locator makes use of a palpation technique in order to reduce the problem of skin deformation. At present, the scapula locator is the most accurate noninvasive method of measuring scapular movements, but to date the method has only been used to measure the scapula position statically. Here, a new method was developed to measure the scapula movements dynamically; the method makes use of the scapula locator and feedback from pressure-sensors attached to the locator probes to track the scapula during movement. The reliability of the method after short-term practise as well as the intra-observer and inter-observer variations and the inter-session repeatability were tested and quantified in a series of studies. The method was found to be able to measure dynamic scapular movements in slow to medium paced arm movements to a good degree of accuracy as well as provide scapulothoracic measurements of high reliability compared to using the scapula locator on its own and to previously reported results in the literature. Finally, the new locator method was used to calibrate the acromial tracker in order to improve the accuracy of the device and facilitate its use as an alternative to the scapula locator in clinical studies involving fast (higher than functional velocities) dynamic activities. The new scapula locator method and the calibrated acromial tracker method present significant improvements on the available scapular measurement techniques particularly in measuring subtle scapular rotations of clinical importance, such as the scapular tilt. The methods described will be used in future clinical and sport-related studies.
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Schrempp, Mark. "Tracking loop design." Thesis, Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1363.
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Mossop, Ben. "Telescope tracking system." Thesis, Mossop, Ben (2013) Telescope tracking system. Other thesis, Murdoch University, 2013. https://researchrepository.murdoch.edu.au/id/eprint/17874/.
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This report covers the design methodologies and principles used to develop an automated telescope tracking system. The 1980’s Murdoch University owned telescope was the hardware used in this project and the challenges experienced were primarily due to mechanical failures or part specification.
With utilising open-sourced equipment came great benefit as many design ideas were easily implemented due to a large following of these devices. In fact much of the code required to have this project operational already exists on the internet and is freely available to download.
Overall, the project outcomes were not fully achieved but the project is deemed partially successful given the large amount of research and development future students can learn from.
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Sethuraman, Vijayashankar. "A hybrid technique for tracking network structured multiple deformable objects tracking." Thesis, University of Nottingham, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546700.
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Ramírez, Eduardo Díaz. "A MORE EFFICIENT TRACKING SYSTEM FOR THE SANTIAGO SATELLITE TRACKING STATION." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604559.
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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, NevadaA digital antenna control system has been designed and installed on a pedestal that was formerly used to drive a VHF array and that has now been replaced with an 11 meter S-Band parabolic reflector. In this Paper, the former analog tracking system will be described, showing all the drawbacks that made it unusable for S-Band. Subsequently, the development and implementation of the digital S-Band tracking system, using Labview, C++ & digital control theory will be discussed. Finally, there will be a comparison between the digital and analog system, too.
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Antonov, Andrii, and Tobias Schirra. "Tracking down European Markets : Tracking Performance of ETFs and Mutual Index Funds." Thesis, Umeå universitet, Företagsekonomi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-76238.
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In recent years, the financial service industry demonstrated substantial growth of Exchange Traded Funds (ETFs). Apart from offering access to new and more specific investment opportunities, many ETFs enter direct competition with conventional, already existing Mutual Index Funds. With 22,1% growth of assets over the past 5 years, the European market by now accounts for 19% of the global ETF market, while at the same time we observe a decline of cash flows to Mutual Index Funds. Given the recent development, index investors are likely to face a choice between ETFs and Mutual Index Funds offering the same service. The purpose of this study is to analyze those two similar investment instruments towards the quality of achieving their objective, which is to deliver a performance as close as possible to the respective benchmarks'. The analysis will be performed for the European market, i.e. we include only Index Funds that track European indices. This study is guided by objectivism and positivism as ontological and epistemological positions. We conduct a deductive research by reviewing and testing previous findings through the formulation of hypotheses that serve our purpose. For our analysis we gather quantitative data in the form of daily prices for 21 ETFs and 22 Mutual Index Funds, tracking 9 European indices. We further use a time frame of 7 years (2006-2012), which we analyze as a whole as well as divided into sub-periods as determined by different states of the European market. As a basis for the analysis we calculate return differences and different measures of tracking risk. Our results show that on average ETFs as well as Mutual Index Funds sufficiently replicate index performance with approximately the same level of tracking risk for both instruments. Furthermore, we see no significant impact of expected returns or index volatility on return difference. However, through examination of fees and tracking errors during recent economic turmoils, we show that ETFs first bear lower directly attributed costs and second are less affected by down markets than Mutual Funds.
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Bian, Chao. "Improvement of RFID tracking accuracy for a personnel tracking system in healthcare." The American Society of Mechanical Engineers, 2013. http://hdl.handle.net/1993/24053.
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Radio Frequency Identification (RFID) technology has been widely adopted by different industries for various purposes. While implementing a RFID system for personnel tracking in an industrial environment, such as a hospital, the tracking accuracy is not always satisfactory due to incorrect placement of RFID hardware, coarse system configuration or environment. This thesis proposes comprehensive optimization methods for improving the tracking accuracy of a RFID system for personnel tracking. The improvement is achieved from four perspectives including RFID data cleaning, experimental design, data fusion and simulation modeling. This research is based on a case study carried out in a local community hospital where a RFID system for personnel tracking has been implemented. Through applying the optimization methods, the tracking accuracy of the RFID system has been improved to 87.33%. The thesis provides a guideline for the hospital and other similar application environment to implement improvement methods on a RFID tracking system.
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Intille, Stephen S. (Stephen Sean). "Tracking using a local closed-world assumption : tracking in the football domain." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/29082.
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Andersson, Anders Tobias. "Facial Feature Tracking and Head Pose Tracking as Input for Platform Games." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-12924.
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Modern facial feature tracking techniques can automatically extract and accurately track multiple facial landmark points from faces in video streams in real time. Facial landmark points are defined as points distributed on a face in regards to certain facial features, such as eye corners and face contour. This opens up for using facial feature movements as a handsfree human-computer interaction technique. These alternatives to traditional input devices can give a more interesting gaming experience. They also open up for more intuitive controls and can possibly give greater access to computers and video game consoles for certain disabled users with difficulties using their arms and/or fingers. This research explores using facial feature tracking to control a character's movements in a platform game. The aim is to interpret facial feature tracker data and convert facial feature movements to game input controls. The facial feature input is compared with other handsfree inputmethods, as well as traditional keyboard input. The other handsfree input methods that are explored are head pose estimation and a hybrid between the facial feature and head pose estimation input. Head pose estimation is a method where the application is extracting the angles in which the user's head is tilted. The hybrid input method utilises both head pose estimation and facial feature tracking. The input methods are evaluated by user performance and subjective ratings from voluntary participants playing a platform game using the input methods. Performance is measured by the time, the amount of jumps and the amount of turns it takes for a user to complete a platform level. Jumping is an essential part of platform games. To reach the goal, the player has to jump between platforms. An inefficient input method might make this a difficult task. Turning is the action of changing the direction of the player character from facing left to facing right or vice versa. This measurement is intended to pick up difficulties in controling the character's movements. If the player makes many turns, it is an indication that it is difficult to use the input method to control the character movements efficiently. The results suggest that keyboard input is the most effective input method, while it is also the least entertaining of the input methods. There is no significant difference in performance between facial feature input and head pose input. The hybrid input version has the best results overall of the alternative input methods. The hybrid input method got significantly better performance results than the head pose input and facial feature input methods, while it got results that were of no statistically significant difference from the keyboard input method. Keywords: Computer Vision, Facial Feature Tracking, Head Pose Tracking, Game ControlModerna tekniker kan automatiskt extrahera och korrekt följa multipla landmärken från ansikten i videoströmmar. Landmärken från ansikten är definerat som punkter placerade på ansiktet utefter ansiktsdrag som till exempel ögat eller ansikts konturer. Detta öppnar upp för att använda ansiktsdragsrörelser som en teknik för handsfree människa-datorinteraktion. Dessa alternativ till traditionella tangentbord och spelkontroller kan användas för att göra datorer och spelkonsoler mer tillgängliga för vissa rörelsehindrade användare. Detta examensarbete utforskar användbarheten av ansiktsdragsföljning för att kontrollera en karaktär i ett plattformsspel. Målet är att tolka data från en appliktion som följer ansiktsdrag och översätta ansiktsdragens rörelser till handkontrollsinmatning. Ansiktsdragsinmatningen jämförs med inmatning med huvudposeuppskattning, en hybrid mellan ansikstdragsföljning och huvudposeuppskattning, samt traditionella tangentbordskontroller. Huvudposeuppskattning är en teknik där applikationen extraherar de vinklar användarens huvud lutar. Hybridmetoden använder både ansiktsdragsföljning och huvudposeuppskattning. Inmatningsmetoderna granskas genom att mäta effektivitet i form av tid, antal hopp och antal vändningar samt subjektiva värderingar av frivilliga testanvändare som spelar ett plattformspel med de olika inmatningsmetoderna. Att hoppa är viktigt i ett plattformsspel. För att nå målet, måste spelaren hoppa mellan plattformar. En inefektiv inmatningsmetod kan göra detta svårt. En vändning är när spelarkaraktären byter riktning från att rikta sig åt höger till att rikta sig åt vänster och vice versa. Ett högt antal vändningar kan tyda på att det är svårt att kontrollera spelarkaraktärens rörelser på ett effektivt sätt. Resultaten tyder på att tangentbordsinmatning är den mest effektiva metoden för att kontrollera plattformsspel. Samtidigt fick metoden lägst resultat gällande hur roligt användaren hade under spelets gång. Där var ingen statisktiskt signifikant skillnad mellan huvudposeinmatning och ansikstsdragsinmatning. Hybriden mellan ansiktsdragsinmatning och huvudposeinmatning fick bäst helhetsresultat av de alternativa inmatningsmetoderna. Nyckelord: Datorseende, Följning av Ansiktsdrag, Följning av Huvud, Spelinmatning
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Lennartsson, Emilia. "Eye-tracking och matematik : En eye-tracking-undersökning om användandet av prioriteringsreglerna." Thesis, Högskolan för lärande och kommunikation, Jönköping University, Matematikdidaktisk forskning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49555.
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Syftet med denna studie är att undersöka vilken information om matematiska strategier som går att urskilja ur en persons ögonrörelser vid en undersökning med en enklare typ av eye-tracker. Eye-tracking är en metod som gör det möjligt att studera människors ögonrörelser genom att följa den visuella uppmärksamheten utifrån vart en person tittar. I studien används en stationär eye-tracker för att kunna mäta ögonrörelserna. I den här studien har eye-tracking-undersökningar genomförts med två deltagare som tittar på och löser matematiska uppgifter som kräver prioritering. Den här studien använder en billig (kostar cirka 1000 SEK) kommersiell eye-tracker med ett egentillverkat datainsamlingsprogram. Resultatet av studien visade att det gick att utläsa information och baserat på det gick det att tolka att deltagarna verkligen använde sig av prioriteringsreglerna vid uppgifterna.The aim of this study is to investigate what information can be gathered by studying a person’s eye movements with a simpler kind of eye-tracker device. Eye-tracking is a technique that allows studying eye movements. In this study a stationary eye-tracking device was used to study and measure eye movements. This study is an original eyetracking study, consisting of two participants who solved mathematical problems that require the use of order of operations whilst wearing an eye-tracker device. The device was a relatively cheap (cost around 1000 SEK) commercial eye-tracker with a home-made data acquisition software system. The result of the study is that it is indeed possible to collect and interpret information using an eye-tracker. Based on the results the conclusion can be made that the participants used the order of operations to solve the assignments.
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Jerrelind, Jakob. "Tracking of Pedestrians Using Multi-Target Tracking Methods with a Group Representation." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172579.
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Multi-target tracking (MTT) methods estimate the trajectory of targets from noisy measurement; therefore, they can be used to handle the pedestrian-vehicle interaction for a moving vehicle. MTT has an important part in assisting the Automated Driving System and the Advanced Driving Assistance System to avoid pedestrian-vehicle collisions. ADAS and ADS rely on correct estimates of the pedestrians' position and velocity, to avoid collisions or unnecessary emergency breaking of the vehicle. Therefore, to help the risk evaluation in these systems, the MTT needs to provide accurate and robust information of the trajectories (in terms of position and velocity) of the pedestrians in different environments. Several factors can make this problem difficult to handle for instance in crowded environments the pedestrians can suffer from occlusion or missed detection. Classical MTT methods, such as the global nearest neighbour filter, can in crowded environments fail to provide robust and accurate estimates. Therefore, more sophisticated MTT methods should be used to increase the accuracy and robustness and, in general, to improve the tracking of targets close to each other. The aim of this master's thesis is to improve the situational awareness with respect to pedestrians and pedestrian-vehicle interactions. In particular, the task is to investigate if the GM-PHD and the GM-CPHD filter improve pedestrian tracking in urban environments, compared to other methods presented in the literature. The proposed task can be divided into three parts that deal with different issues. The first part regards the significance of different clustering methods and how the pedestrians are grouped together. The implemented algorithms are the distance partitioning algorithm and the Gaussian mean shift clustering algorithm. The second part regards how modifications of the measurement noise levels and the survival of targets based on the target location, with respect to the vehicle's position, can improve the tracking performance and remove unwanted estimates. Finally, the last part regards the impact the filter estimates have on the tracking performance and how important accurate detections of the pedestrians are to improve the overall tracking. From the result the distance partitioning algorithm is the favourable algorithm, since it does not split larger groups. It is also seen that the proposed filters provide correct estimates of pedestrians in events of occlusion or missed detections but suffer from false estimates close to the ego vehicle due to uncertain detections. For the comparison, regarding the improvements, a classic standard MTT filter applying the global nearest neighbour method for the data association is used as the baseline. To conclude; the GM-CPHD filter proved to be the best out of the two proposed filters in this thesis work and performed better also compared to other methods known in the literature. In particular, its estimates survived for a longer period of time in presence of missed detection or occlusion. The conclusion of this thesis work is that the GM-CPHD filter improves the tracking performance and the situational awareness of the pedestrians.
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Rieser, Marcel. "Document tracking diploma thesis /." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer Science, Institute of Information Systems, Global Information Systems Group, 2005. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=166.
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Erlandsson, Tina. "Angle-Only Target Tracking." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8537.
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In angle-only target tracking the aim is to estimate the state of a target with use of measurement of elevation and azimuth. The state consists of relative position and velocity between the target and the platform. The platform is an Unmanned Aerial Vehicle (UAV) and the tracking system is meant to be a part of the platform’s anti-collision system. In the case where both the target and the platform travel with constant velocity the angle measurements do not provide any information of the range between the target and the platform. The platform has to maneuver to be able to estimate the range to the target.
Two filters are implemented and tested on simulated data. The first filter is based on a Extended Kalman Filter (EKF) and is designed for tracking nonmaneuvering targets. Different platform maneuvers are studied and the influence of initial errors and the geometry of the simulation scenario is investigated. The filter is able to estimate the position of the target if the platform maneuvers and the target travels with constant velocity. Maneuvering targets on the other hand can not be tracked by the filter.
The second filter is an interacting multiple model (IMM) filter, designed for tracking maneuvering targets. The filter performance is highly dependent of the geometry of the scenario. The filter has been tuned for a scenario where the target approaches the platform from the front. In this scenario the filter is able to track both maneuvering and non-maneuvering targets. If the target approaches the platform from the side on the other hand, the filter has problems with distinguish target maneuvers from measurement noise.
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Alin, Lars. "Object Tracking withIphone 3Gs." Thesis, Umeå University, Department of Computing Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-34399.
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In June of 2007 Apple Inc. released the smartphone Iphone. It was a groundbreaking success that set a new standard for what a smartphone should be able to do. Apple has improved the Iphone every year since then and the 3Gs is the newest Iphone model. As the phones have improved, both when looking at hardware and software, the applications have improved as well. The Iphone 3Gs provides the possibility to use the camera as an application background and with that the possibility to analyze the surroundings, making it possible to track objects that the phone is pointed towards.This thesis examines how object tracking can be implemented in applications for Iphone 3Gs as well as providing a survey of four different areas of use that have been implemented in Xcode: an augmented reality car game, a letter tracking application, a face recognition application and an object recognition application.
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Döbel, Björn. "Request tracking in DROPS." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-26214.
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Runtime analysis of applications can help to gain insight into control flow of applications as well as detect performance issues. This work presents efficient means for integrating runtime monitoring facilities into the DROPS operating system and uses these to analyse performance and behavior of L4-based applications such as L4Linux.
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Ozertem, Kemal Arda. "Vision-assisted Object Tracking." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614073/index.pdf.
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In this thesis, a video tracking method is proposed that is based on both computer vision and estimation theory. For this purpose, the overall study is partitioned into four related subproblems. The first part is moving object detectionfor moving object detection, two different background modeling methods are developed. The second part is feature extraction and estimation of optical flow between video frames. As the feature extraction method, a well-known corner detector algorithm is employed and this extraction is applied only at the moving regions in the scene. For the feature points, the optical flow vectors are calculated by using an improved version of Kanade Lucas Tracker. The resulting optical flow field between consecutive frames is used directly in proposed tracking method. In the third part, a particle filter structure is build to provide tracking process. However, the particle filter is improved by adding optical flow data to the state equation as a correction term. In the last part of the study, the performance of the proposed approach is compared against standard implementations particle filter based trackers. Based on the simulation results in this study, it could be argued that insertion of vision-based optical flow estimation to tracking formulation improves the overall performance.
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Luo, Wenhan. "Generic multiple object tracking." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/39044.
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Multiple object tracking is an important problem in the computer vision community due to its applications, including but not limited to, visual surveillance, crowd behavior analysis and robotics. The difficulties of this problem lie in several challenges such as frequent occlusion, interaction, high-degree articulation, etc. In recent years, data association based approaches have been successful in tracking multiple pedestrians on top of specific kinds of object detectors. Thus these approaches are type-specific. This may constrain their application in scenario where type-specific object detectors are unavailable. In view of this, I investigate in this thesis tracking multiple objects without ready-to-use and type-specific object detectors. More specifically, the problem of multiple object tracking is generalized to tracking targets of a generic type. Namely, objects to be tracked are no longer constrained to be a specific kind of objects. This problem is termed as Generic Multiple Object Tracking (GMOT), which is handled by three approaches presented in this thesis. In the first approach, a generic object detector is learned based on manual annotation of only one initial bounding box. Then the detector is employed to regularize the online learning procedure of multiple trackers which are specialized to each object. More specifically, multiple trackers are learned simultaneously with shared features and are guided to keep close to the detector. Experimental results have shown considerable improvement on this problem compared with the state-of-the-art methods. The second approach treats detection and tracking of multiple generic objects as a bi-label propagation procedure, which is consisted of class label propagation (detection) and object label propagation (tracking). In particular, the cluster Multiple Task Learning (cMTL) is employed along with the spatio-temporal consistency to address the online detection problem. The tracking problem is addressed by associating existing trajectories with new detection responses considering appearance, motion and context information. The advantages of this approach is verified by extensive experiments on several public data sets. The aforementioned two approaches handle GMOT in an online manner. In contrast, a batch method is proposed in the third work. It dynamically clusters given detection hypotheses into groups corresponding to individual objects. Inspired by the success of topic model in tackling textual tasks, Dirichlet Process Mixture Model (DPMM) is utilized to address the tracking problem by cooperating with the so-called must-links and cannot-links, which are proposed to avoid physical collision. Moreover, two kinds of representations, superpixel and Deformable Part Model (DPM), are introduced to track both rigid and non-rigid objects. Effectiveness of the proposed method is demonstrated with experiments on public data sets.
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Gordon, Neil. "Bayesian methods for tracking." Thesis, Imperial College London, 1993. http://hdl.handle.net/10044/1/7783.
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WIDÉN, TOBIAS. "Eye Tracking Simulation Framework." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142482.
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To facilitate eye tracking algorithm development that would benefit from simulation we created an eye tracking simulation software library and Application Programming Interface with reusable components. The main part of this library consists of a simulation core able to accept different geometrical models for the eyes, depiction mechanisms, illumination sources and eye tracking algorithms. The library has support for data generation using these models as partial input. It is also capable of performing eye tracking, including eye model calibration using the generated data and algorithms as input. We describe a selection of methodological techniques and principles for software engineering and exemplify how these can be used to improve functionality and usability of software systems. Finally, we discuss future uses and improvements which could further increase the tool’s usability and engineering qualities.För att underlätta utveckling av eye tracking-algoritmer har vi skapat ett simuleringsverktyg och programmeringsgränssnitt med återanvändbara komponenter. Verktyget består i huvudsak av en kärna, vilken utifrån geometriska modeller för ögon och ljuskällor, mekanismer för optisk projektion och algoritmer genererar eye tracking-data från virtuella scener samt kalibrering av ögonmodeller med algoritmer som tolkar genererat data. Vi beskriver ett urval av formella metoder och principer för mjukvaruutveckling och exemplifierar hur dessa kan användas för att förbättra funktionalitet och användbarhet av mjukvara. Slutligen diskuterar vi framtida användningsområden och förbättringar som ytterligare kan öka verktygets användbarhet och ingenjörsmässighet.
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Quillinan, Cormac. "Application packaging tracking system." [Denver, Colo.] : Regis University, 2007. http://165.236.235.140/lib/CQuillinan2007.pdf.
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BÄCKMAN, JOHAN, and TOBIAS ROSMAN. "Life tracking och studievanor." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136756.
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Detta examensarbete undersöker hur studenter kan förbättra sina studievanor med hjälp av lifetracking via mobila applikationer. Lifetracking-applikationen som nyttjas i denna undersökning heter Lift 1. Det visar sig att det är en fördel om motivationen till förändring kommer från personen själv och att denne har ett intresse och nyfikenhet för nya tekniker. Då ökar chansen att Lift fungerar som hjälpmedel. Om en student väljer att använda sig av Lift bör denne välja vanor som har ett högt värde för personen och som går att upprepa under en längre period för att ha större chans till förändring.This bachelor’s thesis investigates how students can improve their habits of studying by way of lifetracking in mobile applications. The lifetracking application being used in this study goes by the name of Lift. To maximize its potential for success it is beneficial if the motivation to change comes from the student in question, if the student has an interest for testing new technology and if the student is curious and willing to try out unknown techniques. If one intends to use Lift in its studies one should choose habits which hold value and which are repeatable for a longer period of time. This will contribute to a greater chance of success.
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Young, Larry Alan. "High resolution monopulse tracking." Master's thesis, University of Central Florida, 1988. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/73935.
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University of Central Florida College of Engineering ThesisHigh Resolution Radar techniques are applied to the problem of resolving a multiple target array and locating its geometric center without the usual biasing toward the brightest targets. Monopulse radar techniques are combined with high resolution stepped frequency pulse train signal processing in an amplitude tracking radar. A single pulse monopulse system's aimpoint is biased toward the brightest point targets in an array. However, by using a stepped frequency pulse monopulse radar, the cross range distance to each individual scatterer may be found. Unlike the single pulse monopulse system, the aimpoint is independent of the reflectivity of the targets. The geometric center of a multiple scatterer array is found by averaging the cross range components along both axes. For the stepped frequency high resolution monopulse system, the center of each uniquely separated pair of point targets is calculated by examining the cross-correlation function of the sum and difference channels. The autocorrelation of the sum channel is used to normalize the cross-correlation data thereby eliminating the effects of the different targets radar cross sections (RCS). The zero separation term of the error function (DC term) remains biased toward the bigger scatterer, even after normalization. The nonzero terms (AC terms) are the cross range distances from the antenna's boresight to each scatterer and are independent of their RCS. By simply dropping ones together, the aimpoint becomes the unbiased geometric center of the array. The special cases of one, two and three resolvable point scatterers are examined in detail. Analysis of a nondiscrete complex scattering array is not presented, since the requirement of separation pair uniqueness cannot be assumed. The monopulse tracking simulation work was done on an IMB AT using Microsoft Fortran-77.
M.S.
Masters
Engineering
Engineering
105 p.
v, 105 leaves, bound : ill. ; 28 cm.
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Miller, William E. "Nextgen Navy eLearning tracking." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/44616.
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Approved for public release; distribution is unlimitedThe Navy’s eLearning (NeL) computer-based learning system relies on a Learning Management System (LMS) for content delivery and tracking learning information. One major obstacle with NeL’s current LMS implementation is that tracking of learning can only be done while a user is on a desktop computer using an Internet browser to connect to the LMS SOFtware. However, not all learning takes place within an Internet browser on a desktop computer. The Experience-API (xAPI), also known as Tin Can API and SCORM 2.0, is a standard maintained by Advanced Distributed Learning (ADL) that decouples the tracking of learning information from the content delivery. Any piece of SOFtware implementing the xAPI standard running on any networked device can track learning activity and store that data inside of a Learning Record Store (LRS). A prototype system was developed in a virtual environment to showcase the use of the xAPI/LRS to track quiz data, and the quiz data could then be synced from the LRS to the LMS. The prototype showed that xAPI, along with its LRS, can overcome the NeL’s AtlasPro LMS limitation of only tracking learning from a user’s desktop computer using an Internet browser.
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Best, Robert Andrew. "Integrated tracking and guidance." Thesis, University of Birmingham, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322491.
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Suppitaksakul, Chatchai. "Pedestrian detection and tracking." Thesis, Northumbria University, 2006. http://nrl.northumbria.ac.uk/488/.
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This report presents work on the detection and tracking of people in digital images. The employed detection technique is based on image processing and classification techniques. The work uses an object detection process to detect object candidate locations and a classification method using a Self-Organising Map neural network to identify the pedestrian head positions in an image. The proposed tracking technique with the support of a novel prediction method is based on the association of Cellular Automata (CA) and a Backpropagation Neural Network (BPNN). The tracking employs the CA to capture the pedestrian's movement behaviour, which in turn is learned by the BPNN in order to the estimated location of the pedestrians movement without the need to use empirical data. The report outlines this method and describes how it detects and identifies the pedestrian head locations within an image. Details of how the proposed prediction technique is applied to support the tracking process are then provided. Assessments of each component of the system and on the system as a whole have been carried out. The results obtained have shown that the novel prediction technique described is able to provide an accurate forecast of the movement of a pedestrian through a video image sequence.
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Bryant, Edmund Bernard. "Radio tracking of pinnipeds." Thesis, University of Sheffield, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364311.
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Salmond, David J. "Tracking in uncertain environments." Thesis, University of Sussex, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394442.
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Bruzadin, Nunes Ugo. "Mental Imagery and Tracking." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2471.
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This study aimed to better understand visuomotor tracking and spatial visual imagery. 101 Participants performed four tasks: A Manual Tracking Task (MTT), in which participants mouse-tracked the path of a circle, sometimes with occlusion. A Multi-Object Tracking task (MOT), in which participants tracked several objects simultaneously. The Sussex Cognitive Styles Questionnaire (SCSQ), in which participants self-reported their experience with imagery. A Mental Rotation Task (MRT) in which participants mentally rotate Tetris-like objects. The results demonstrated a significant correlation between the technical/spatial subscale of the SCSQ and the occluded MTT, the MRT, the MOT but not the visible MTT. A multiple regression showed that occluded MTT and the MRT together significantly predicted the spatial/technical subscale of the SCSQ above visible MTT and MOT. These findings support the claim that the cognitive resources behind mental imagery may also be recruited during other tasks that arguably draw on the need for internal visualization.