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Dissertations / Theses on the topic 'Pohybující se objekt'

Author: Grafiati

Published: 28 June 2021

Last updated: 10 February 2022

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1

Vetešník, Jiří. "Indexování pohybujících se objektů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235881.

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This work is aimed for proposing acceptable indexing of moving objects. With the enlargement of mobile computing it is needed to manage large sets of spatiotemporal data. We introduce the problem of spatiotemporal data and basic general approaches of indexing these data. Further, we show support of spatial data in Oracle. The movement is typically represented as trajectory in two dimensional space with temporal component in third dimension. The thesis contains experiments performed in database Oracle on artificially generate data.

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2

Vališ, Jaroslav. "Databáze pohybujících se objektů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235886.

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This work treats the representation of moving objects and operations over these objects. Introduces the support for spatio-temporal data in Oracle Database 10g and presents two designs of moving objects database structure. Upon these designs a database was implemented using the user-defined data types. Sample application provides a graphical output of stored spatial data and allows us to call an implemented spatio-temporal operations. Finally, an evaluation of achieved results is done and possible extensions of project are discussed.

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3

Křížová, Martina. "Indexování dat pohybujících se objektů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237256.

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This thesis deals with indexing of spatio-temporal data. It describes existing approaches to indexing data and support for indexing in Oracle Database 11g. The aim of this work is to design structures of databases for storing spatio-temporal data over Oracle Database 11g to propose experiments for these databases. Ways of spatio-temporal data storage are evaluated according to these experiments in terms of time demands of queries and appropriateness of using available indexing structure and spatial operators.

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4

Jakubíček, Patrik. "Systém pro sledování trajektorie objektů pohybujících se v prostoru." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255419.

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This thesis deals with a system for tracking the trajectory of the moving object. Further, also for obtaining additional motion data and other information. Thesis focuses on flying objects. There are described all system components and way of their communication. Next, the progress of the expansion unit for measuring by the BeagleBone Black platform. Also there is described testing that took place during aerobatic gliders races, including the demonstrations of recording data and their processing.

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5

Škuta, Pavel. "Detekce a lokalizace pohybujících se objektů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217201.

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The aim of this these was devise a automatic system applications, monitoring entering of motors vechitles with in automaric collection of trafic data. Automatic system allows identify of mooving vechitlses in slow speed and searching of the area registration number. Theoretical analysis of possible kind solving problems detection moving vechitles and their localization. From possible solutions was selected solution by camera systems. Was take a pictures of vechitles, whitch is as true of the real scene. On the pictures was testing of algorithm for detecting of area registraction number of vechitles. Designed system is possible to use for automatic monitoring mooving entering vechitles.

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6

Němec, Jiří. "Detekce pohybujících se objektů ve video sekvenci." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-412865.

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This thesis deals with methods for the detection of people and tracking objects in video sequences. An application for detection and tracking of players in video recordings of sport activities, e.g. hockey or basketball matches, is proposed and implemented. The designed application uses the combination of histograms of oriented gradients and classification based on SVM (Support Vector Machines) for detecting players in the picture. Moreover, a particle filter is used for tracking detected players. The whole system was fully tested and the results are shown in the graphs and tables with verbal descriptions.

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7

Dvořáček, Ondřej. "Dotazování nad časoprostorovými daty pohybujících se objektů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236692.

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This master's thesis is devoted to the studies of possibilities, which can be used for representation of moving objects data and for querying such spatio-temporal data. It also shows results of the master's thesis created by Ing. Jaroslav Vališ, that should be used for the solution of this master's thesis. But based on the theoretical grounds defined at the beginning of this work was designed and implemented new database extension for saving and querying spatio-temporal data. Special usage of this extension is demonstrated in an example application. This application uses the database extension for the implementation of its own database functions that are domain specific. At the conclusion, there are presented ways of the farther development of this database extension and the results of this master's thesis are there set into the context of the following project, doctoral thesis "Moving objects database".

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8

Šulc, Martin. "Rozpoznávání pohybujícího se objektu pomocí MIMO radaru." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220219.

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The aim of this thesis is to estimate parameters of the moving target using different radar configurations. First the Doppler effect and the time delay of the received signal is examined. The investigation of these phenomenons is made for radial and non-radial movement of simple monostatic radar configuration and after that for the bistatic and multistatic MIMO configuration. The ambiguity function is presented for all these configurations. The ambiguity function is then used to estimate target parameters from the received signal. The received signal model and ambiguity function for the monostatic radar configuration is developed using Matlab software. Finally the practical use of these implementations is presented and compared.

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9

Komloši, Michal. "Trasování pohybujícího se objektu v obrazové scéně." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403767.

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This master thesis deals with tracking the moving object in image. The result of the thesis is designed algorithm which is implemented in the programming language C#. This algorithm improves the functionallity of an existing tracking algorithm.

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10

Schwarz, Ivan. "Rozpoznávání aktivit z trajektorií pohybujících se objektů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236165.

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The aim of this thesis is a development of a system for trajectory-based periodic pattern recognition and following GPS trajectory classification. This system is designed according to a performed analysis of techniques of data mining in moving object data and furthermore, on recent research on a subject of a trajectory-based activity recognition. This system is implemented in C++ programming language and experiments addresing its effectiveness are performed.

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11

Klicnar, Lukáš. "Robustní detekce pohybujících se objektů ve videu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236535.

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Motion segmentation is an important process for separating moving objects from the background. Common methods usually assume fixed camera, other approaches exist as well, but they are usually very computational intensive. This work presents an approach for scene segmentation to regions with coherent motion, which works faster than similar methods and it is capable of online processing with no prior knowledge of objects or camera. The main assumption is that the points belonging to a single objects are moving together and this applies as well in the opposite direction. The proposed method is based on tracking of feature points and searching for groups with similar motion by using RANSAC-based algorithm. Short-range repair of broken tracks is applied to increase the overall robustness of tracking. Found clusters are subsequently processed to represent separate moving objects.

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12

Chovanec, Vladimír. "Získávání znalostí z databází pohybujících se objektů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236990.

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The aim of this master's thesis is to get familiar with problems of data mining and classification. This thesis also continues with application SUNAR, which is upgraded in practical part with SVM classification of persons passing between cameras. In the conclusion, we discuss ways to improve classification and person recognition in application SUNAR.

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13

Havelka, Jan. "Detekce pohybujících se objektů ve video sekvenci." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237053.

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The topic of this thesis is the recognition and detection of moving object and persons in video sequence and in the static image. Designed application uses the combination of background model for movement detection, histograms of oriented gradients method for person recognition and Lucas-Kanade method for object tracking.

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14

Hochman, Zdeněk. "Detekce pohybujících se objektů ve video sekvenci." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237242.

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This thesis deals with moving objects detection in video sequences. The principal aim of such detection is to detect and locate motion in the image, separate individual objects, and track these objects. Subsequently, to eliminate shadows, the paper introduces method of motion detection based on Local Binary Patterns together with differential method above the HSV color space. The proposed method provides rapid and accurate movement detection in video sequences.

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15

Zelený, Miroslav. "Automatizované sledování pohybujících se objektů pomocí robotického manipulátoru." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442440.

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This diploma thesis deals with the tracking of objects using a robotic manipulator Epson C3 and a color camera. The work describes the basic qualities of the device to be used. The OpenCV library and its wrapper EmguCV are used as software tools for computer vision. It discusses the basic issues and principles of tracking objects in the image and introduces some methods of tracking. These methods have been tested and therefore their strengths and weaknesses, which appeared during testing, are listed here. Furthermore, there is a procedure for calculating the new coordinates of the camera and the manipulator effector using homogeneous transformations. The work contains the results of testing the algorithms and their evaluation. The output of the work is a test application for the Epson C3 robot.

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16

Kerndl, Michal. "Automatický systém pro sledování polohy pohybujících se objektů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220084.

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There is suggestion of obtaining exact position in this work, based on GPS and GSM modules controlled by PIC microcontroller. Layout of this work is electronic schematic, PCB footprint and theoretical analysis of used modules. The practical part of work is also dealing with software for both microprocessor and web interface. The function prototype will be created and tested in next phases of this project.

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17

Komůrková, Lucia. "Odlišení pozadí a pohybujících se objektů ve videosekvenci." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-254387.

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This diploma thesis deals with separation of backgroud and moving objects in video. Video can be represented as series of frames and each frame represented as low - rank structure - matrix. This thesis describe sparse representation of signals and robust principal component analysis. It also presents and implements algorithms - models for reconstruction of real video.

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18

Martincová, Lucia. "Odlišení pozadí a pohybujících se objektů ve videosekvenci." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-319269.

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This diploma thesis deals with separation of backgroud and moving objects in video. Video can be represented as series of frames and each frame represented as low - rank structure - matrix. This thesis describe sparse representation of signals and robust principal component analysis. It also presents and implements algorithms - models for reconstruction of real video.

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19

Horeličan, Tomáš. "Měření pozice pohybujících se objektů pomocí robotické totální stanice." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442533.

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Práca sa zaoberá objavujúcim sa nekonvenčným využitím moderných teodolitov, tiež známych ako Robotické Totálne Stanice (RTS), ako sledovací a navádzací systém, určením presnej pozície dynamicky sa pohybujúceho objektu. To sa týka najmä situácií, kde nie je možné využiť konvenčné polohovacie systémy akým je napríklad GNSS. Kinematicky určená poloha objektu kontinuálne sledujúcou RTS môže byť následne v reálnom čase využitá pre autonómnu navigáciu malých bezpilotných leteckých prostriedkov (UAV) poskytnutím referenčného súradnicového systému a okamžitej polohy v ňom. Podstatná časť práce je venovaná návrhu a realizácii vhodných experimentov, ktoré overia spoľahlivosť určovania presnej polohy objektu v presnom časovom okamžiku. Boli preverené stanice série S7 a S9 od spoločnosti Trimble a stanica S9 HP, ktorá disponuje frekvenciou kontinuálneho merania až do 10 Hz bola napokon využitá pre experimenty. Lokálny čas ovládacieho panelu TSC7, ktorý zabezpečuje komunikáciu so stanicou bol pomocou protokolu PTP synchronizovaný s lokálnym časom mini-počítača Raspberry Pi, ktorý následne poskytoval referenčné meranie skutočnej polohy objektu v čase. V závere sú zhrnuté výsledky experimentov.

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20

Mikulský, Petr. "Detekce pohybujících se objektů ve videu s využitím neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442377.

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This diploma thesis deals with the detection of moving objects in a video recording using neural networks. The aim of the thesis was to detect road users in video recordings. Pre-trained YOLOv5 object detection model was used for a practical part of the thesis. As part of the solution, an own dataset of traffic road video recordings was created and annotated with following classes: a car, a bus, a van, a motorcycle, a truck and a trailer truck. Final version of this dataset comprise 5404 frames and 6467 annotated objects in total. After training, the YOLOv5 model achieved 0.995 mAP, 0.995 precision and 0.986 recall on the dataset. All steps leading to the final form of the dataset are described in the conclusion chapter.

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21

Mikulec, Vojtěch. "Detekce pohybujících se objektů ve videu s využitím neuronových sítí pomocí Android aplikace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442362.

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This master’s thesis deals with the implementation of functional solution for classifying road users using mobile device with Android operating system. The goal is to create Android application which classifies vehicles in real time using rear-facing camera and saves timestamps of classification. Testing is performed mostly with own, diversely modificated dataset. Five models are trained and their performance is measured in dependence on hardware. The best classification performance is from pretrained MobileNet model where transfer learning with 6 classes of own dataset is used – 62,33 %. The results are summarized and a method for faster and more accurate traffic analysis is proposed.

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22

Pešek, Martin. "Získávání znalostí z časoprostorových dat." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237048.

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This thesis deals with knowledge discovery in spatio-temporal data, which is currently a rapidly evolving area of research in information technology. First, it describes the general principles of knowledge discovery, then, after a brief introduction to mining in the temporal and spatial data, it focuses on the overview and description of existing methods for mining in spatio-temporal data. It focuses, in particular, on moving objects data in the form of trajectories with an emphasis on the methods for trajectory outlier detection. The next part of the thesis deals with the process of implementation of the trajectory outlier detection algorithm called TOP-EYE. In order to testing, validation and possibility of using this algorithm is designed and implemented an application for trajectory outlier detection. The algorithm is experimentally evaluated on two different data sets.

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23

Ahuja, Nikhil. "Hipokampální neuronální reprezentace pohybujícího se objektu v nové úloze vyhýbání se prostoru." Doctoral thesis, 2021. http://www.nusl.cz/ntk/nusl-446365.

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In real world environments, animals need to organize their behavior relative to other moving animals or objects; when hunting a predator, when migrating in groups or during various social interactions. In all of these situations, the animal needs to orient relative to another moving animal/object. To understand the role of the hippocampus in this ability we adopted a two-step approach. We developed a task that would mimic important elements of this behavior in the laboratory. The task required the rats to assess not only their distance from the moving object but also their position relative to the object. We further studied how neurons in the hippocampal CA1 subfield encode the subject, the moving object and the environment in the behavioral paradigm and how do these representations interact among themselves. In rats, we aimed to characterize spatial behaviors relative to moving objects and to explore the cognitive mechanisms controlling these behaviors. Three groups of animals were trained to avoid a mild foot-shock delivered in one of three positions: either in front, on the left side, or the right side of a moving robot. Using different variations of the task, we also probed whether avoidance was simply due to increased noise level or size of the retinal image or appearance of the robot. As the...

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24

Levčík, David. "Schopnost rozeznávání pozice pohybujícího se objektu u potkanů (Rattus norvegicus): Vliv hipokampální léze." Master's thesis, 2008. http://www.nusl.cz/ntk/nusl-272689.

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