Relevant bibliographies by topics / Tracking

Academic literature on the topic 'Tracking'

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Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Tracking"

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Castell-Uroz, Ismael, and Pere Barlet-Ros. "TrackSign-labeled web tracking dataset." Computer Networks 226 (May 2023): 109687. http://dx.doi.org/10.1016/j.comnet.2023.109687.

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M, Thafsil Rahman K., Sri Abilesh Kumar T, and Sakthinathan S. Mohana Priya A. "Career Tracking." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1626–28. http://dx.doi.org/10.31142/ijtsrd11453.

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NIEMI, KAREN. "Tracking Patients, Tracking Costs." Nursing Management (Springhouse) 4, no. 1 (January 1999): 47???48. http://dx.doi.org/10.1097/00006247-199901000-00015.

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Lorenzo, E., L. Narvarte, and J. Muñoz. "Tracking and back-tracking." Progress in Photovoltaics: Research and Applications 19, no. 6 (February 23, 2011): 747–53. http://dx.doi.org/10.1002/pip.1085.

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Hasan, Hameedah Sahib. "SURVEY ON LOCAL POSITIONING SYSTEM AND IT’S APPLICATIONS." Science Proceedings Series 1, no. 2 (April 15, 2019): 4–6. http://dx.doi.org/10.31580/sps.v1i2.589.

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Global position system (GPS) and Local position system (LPS) have important rols in several applications in real life such as helthcare, monitoring and tracking, etc. GPS has many limitations due to some reason, the signal has lack when used inside bulding this is becouse of lack of line of sight (LoS). Therefore LPS is one of best solution which used to avoide weakness problem and it become very necessary for estimate user’s or object position inside buliding with a good accuracy. This paper gives a servay on LPS technologies. Furthermore, the LPS’s applications such as trackimg which is involved several types like human tracking, object tracking, animal tracking and AGV tracking which is done by previous researches are presented
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Iwasiński, Łukasz. "Quantified Self. Self-tracking a problem tożsamości." Zagadnienia Informacji Naukowej - Studia Informacyjne 55, no. 2(110) (October 1, 2017): 126–36. http://dx.doi.org/10.36702/zin.369.

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CEL/TEZA: Self-tracking to praktyka polegająca na pozyskiwaniu przez jednostki najróżniejszych danych dotyczących ich samych, przede wszystkim za pomocą mobilnych urządzeń i powiązanych z nimi aplikacji. Funkcją self-trackingu jest poprawa zdrowia, wydajności, organizacji różnych aktywności itp. W artykule postawiono tezę, że jego wpływ na życie współczesnych ludzi jest większy self-tracking staje się ważnym instrumentem kształtowania ich tożsamości. KONCEPCJA/METODY BADAŃ: Analiza opiera się na literaturze teoretycznej i empirycznej dotyczącej problematyki self-trackingu. Podjęte w artykule rozważania zilustrowano przykładami zaczerpniętymi ze źródeł zastanych oraz własnych obserwacji. WYNIKI I WNIOSKI: Self-tracking przynosi obietnicę dogłębnego poznania swego ciała i umysłu – a więc odkrycia i, na ile to możliwe, przekształcenia swej tożsamości. Praktyka ta daje wrażenie lepszej, skuteczniejszej kontroli swego życia (przede wszystkim swej cielesności), a dzięki temu – poszerzenia możliwości kreowania tożsamości. I zapewne w jakimś zakresie faktycznie pomaga realizować te cele. Technologie Quantified Self stwarzają jednak pozory dostępu do wiedzy „czystej”, to jest niezapośredniczonej przez żaden arbitralny system ekspercki, a opartej na surowych danych empirycznych i tym samym pewnej. Ta ich właściwość prowadzić może do nadmiernej ufności w ich wskazania. ORYGINALNOŚĆ/WARTOŚĆ POZNAWCZA: Temat self-trackingu / Quantified Self jest aktualny, w polskim piśmiennictwie słabo rozpoznany, a istotny poznawczo, choćby ze względu na powszechność i rozwojowość tego zjawiska.
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P, Maruthi, B. Niharika, V. Arun, Y. Swetha, S. Sai Teja, K. Mamatha, and R. Mounika. "SSE Bus Tracking System." International Journal of Research Publication and Reviews 4, no. 4 (April 23, 2023): 4664–67. http://dx.doi.org/10.55248/gengpi.4.423.38070.

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Kurtz, M. "Tracking." IEEE Electrical Insulation Magazine 3, no. 3 (May 1987): 12–14. http://dx.doi.org/10.1109/mei.1987.290597.

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Ray, Robert B. "Tracking." South Atlantic Quarterly 90, no. 4 (October 1, 1991): 771–84. http://dx.doi.org/10.1215/00382876-90-4-771.

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Jin, Xue Bo, Jing Jing Du, and Jia Bao. "Fast Tracking for Video Target Tracking." Applied Mechanics and Materials 303-306 (February 2013): 2245–48. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.2245.

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Fast video tracking can result in irregular sampling tracking problem. This paper transforms the irregular sampling measurement to the time-varying parameters and develops a model with adaptive parameters on line by the autocorrelation function of Markov random processing. Simulations and experiments show the good fast-tracking performance can be get by the model developed here even at very high irregular rate of measurement sampling time.
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Dissertations / Theses on the topic "Tracking"

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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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Books on the topic "Tracking"

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Bruchac, Joseph. Tracking. Memphis, TN: Ion Books, Inc./Raccoon, 1986.

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Bruchac, Joseph. Tracking. Memphis, TN: Ion Books/Raccoon, 1986.

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Bruchac, Joseph. Tracking. Memphis, TN: Ion Books, Inc./Raccoon, 1986.

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Martin, Remphry, ed. Tracking. Edinburgh: Barrington Stoke, 2008.

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Glass, Leslie. Tracking time. New York: Dutton, 2000.

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Stuart, Samuel, ed. Eye Tracking. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2391-6.

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Basel, Matthew T., and Stefan H. Bossmann, eds. Cell Tracking. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0364-2.

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Ajana, Btihaj, ed. Self-Tracking. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65379-2.

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Maggio, Emilio, and Andrea Cavallaro. Video Tracking. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470974377.

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Leleu-Merviel, Sylvie. Informational Tracking. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119452867.

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Book chapters on the topic "Tracking"

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Dander, Valentin. "Self-Tracking mal anders." In Digitale Hochschulbildung?, 169–90. Bielefeld, Germany: transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839448038-008.

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In diesem Beitrag wird eine Annäherung an die Selbst-Lern-Management-App SeLeMA, die im Kontext des Forschungsprojekts DISTELL entwickelt wurde, über den Umweg von Self-Tracking-Anwendungen und -Praktiken vorgenommen. Nach einer gesellschaftlichen Kontextualisierung von Self-Tracking werden einzelne Merkmale kommerziellen Mainstream-Self-Trackings dargestellt, problematisiert und bildungsbezogen eingeordnet. Diese Merkmale werden sodann auf SeLeMA übertragen, um im Modus einer heuristischen Negativfolie die Spezifika der App in Abgrenzung von sowie teilweise in Analogie zu Self-Tracking herauszuarbeiten. Der Beitrag schließt mit einem kurzen Fazit und Ausblick zu bildungspolitischen Potenzialen und datenpolitischen Limitationen.
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Loza, Dinorah Sánchez. "Tracking race, tracking settlerness." In New Approaches to Inequality Research with Youth, 63–77. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003303800-7.

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Tönnis, Marcus. "Tracking." In Informatik im Fokus, 43–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14179-9_3.

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Gooch, Jan W. "Tracking." In Encyclopedic Dictionary of Polymers, 757. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_12000.

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Frank, Steven A. "Tracking." In Control Theory Tutorial, 63–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91707-8_8.

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Weik, Martin H. "tracking." In Computer Science and Communications Dictionary, 1802. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19804.

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Weik, Martin H. "tracking." In Computer Science and Communications Dictionary, 1802. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19805.

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Moeslund, Thomas B. "Tracking." In Undergraduate Topics in Computer Science, 129–39. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2503-7_9.

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Shekhar, Shashi, and Hui Xiong. "Tracking." In Encyclopedia of GIS, 1168. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1400.

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Damarla, Thyagaraju. "Tracking." In Battlefield Acoustics, 103–44. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16036-8_8.

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Conference papers on the topic "Tracking"

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Pun, Abinash. "GenFit2 for SpinQuest Tracking." In GenFit2 for SpinQuest Tracking. US DOE, 2020. http://dx.doi.org/10.2172/1770973.

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Romanov, Aleksandr. "Single-Electron Tracking (SETI)." In Single-Electron Tracking (SETI). US DOE, 2024. http://dx.doi.org/10.2172/2371015.

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Castell-Uroz, Ismael, Josep Sole-Pareta, and Pere Barlet-Ros. "TrackSign: Guided Web Tracking Discovery." In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications. IEEE, 2021. http://dx.doi.org/10.1109/infocom42981.2021.9488842.

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Parsons, R. J. "Tracking seismic waves." In Target Tracking 2004: Algorithms and Applications. IEE, 2004. http://dx.doi.org/10.1049/ic:20040055.

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Dutta, Irene. "AC-LGADs for 4D Tracking." In AC-LGADs for 4D Tracking. US DOE, 2024. http://dx.doi.org/10.2172/2361081.

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Salmond, D. "Target tracking: introduction and Kalman tracking filters." In IEE International Seminar Target Tracking: Algorithms and Applications. IEE, 2001. http://dx.doi.org/10.1049/ic:20010245.

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Herrington, Gary R. "Trapezoidal or sinusoidal commutation control of brushless D.C. motors with pulse width modulation amplifiers." In Acquisition, Tracking, and POinting IV. SPIE, 1990. http://dx.doi.org/10.1117/12.2322216.

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Park, Hye-Sook. "Multiple target tracking in a wide-field-of-view camera system." In Acquisition, Tracking, and POinting IV. SPIE, 1990. http://dx.doi.org/10.1117/12.2322217.

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Reid, Anthony. "Hadamard image domain high performance EKF for low SNR, long range, small target tracking." In Acquisition, Tracking, and POinting IV. SPIE, 1990. http://dx.doi.org/10.1117/12.2322214.

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Royalty, Jim. "Development of kinematics for gimballed mirror systems." In Acquisition, Tracking, and POinting IV. SPIE, 1990. http://dx.doi.org/10.1117/12.2322215.

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Reports on the topic "Tracking"

1

Dell, G. F. Tracking Considerations. Office of Scientific and Technical Information (OSTI), November 1986. http://dx.doi.org/10.2172/1119058.

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Scott, John, Nicholas Dallmann, J. Durham, William Junor, Michael Malone, Remington Thornton, Thomas Tierney, Bruce Carlsten, Mitchell Hoffmann, and MD Zuboraj. Vehicle Tracking. Office of Scientific and Technical Information (OSTI), December 2021. http://dx.doi.org/10.2172/1834510.

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Koo, Helen, and Kris Fallon. Development of Wearable Tracking Systems: Preferences in Tracking Dimensions. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1448.

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Harrison, Nicholas, Nicolette Bartlett, Kornelis Block, Ann Gardiner, Kelly Levin, and Cynthia Elliott. Tracking International Cooperative. Nordic Council of Ministers, October 2015. http://dx.doi.org/10.6027/na2015-916.

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Dee Boersma, Dee Boersma. Tracking Magellanic Penguins. Experiment, June 2012. http://dx.doi.org/10.18258/0022.

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Lamont, Owen. Economic Tracking Portfolios. Cambridge, MA: National Bureau of Economic Research, March 1999. http://dx.doi.org/10.3386/w7055.

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Wallace, Bob, Chungyan Shih, Eric Grol, and Tom Davis. Environmental Retrofit Tracking. Office of Scientific and Technical Information (OSTI), June 2012. http://dx.doi.org/10.2172/1503274.

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Downing, Christopher, Francis Longstaff, and Michael Rierson. Inflation Tracking Portfolios. Cambridge, MA: National Bureau of Economic Research, June 2012. http://dx.doi.org/10.3386/w18135.

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Bange, Marilyn. Radiological Threshold Tracking. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1734472.

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Parisi, Vincent M. Image Based Tracking System. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada444165.

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