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RoboAuto - Car Detection
Melo, Jakub ; Řezníček, Ivo (referee) ; Juránek, Roman (advisor)
This thesis deals with detection and tracking of cars viewed from behind. For the detection, Adaboost algorithm is used. The tracking is done using Kalman filter. In the first part of the work, theoretical background of the object detection and tracking is described. Experiments with classifier training and their results are presented in the second part of the work.
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Camera Based Object Tracking
Psota, Michal ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This work focuses on theoretical description, proposal and implementation of a program for coloured object tracking by a robot. Picture processing uses wrapper of OpenCV library - EmguCV. The application communicates with the robot and guides it to track a specified coloured object. The program is implemented in C# language.
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Moving Object Detection in Video
Buchtela, Radim ; Ševcovic, Jiří (referee) ; Herout, Adam (advisor)
This thesis is devoted to detection of moving object in video sequence. In this thesis are described in detail detection methods based on principle of Background subtraction. There are indtroduced strategies of background modeling and background model updating. This thesis deal also with problems of tracking objects in video, there is introduced one of possible approaches. Part of this thesis is application for function demonstration of detection methods and tracking method. On results are showed main advantages and disadvantages of implemented methods.
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Object Tracking in Video
Beťko, Peter ; Mlích, Jozef (referee) ; Herout, Adam (advisor)
This bachelor's thesis is dealing with implementation and testing of algorithms used for object tracking in video, based on the principle of Particle filter. Their features are compared and discused using a tool, that objectively evaluates the accuracy of tracking. Other topics are dynamic adaptation on actual scene characteristics and recovery from object overlay.
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Object Tracking in Video Using CUDA
Schery, Miroslav ; Polok, Lukáš (referee) ; Herout, Adam (advisor)
This bachelors thesis is focused on implementation of particle filter algorithm in CUDA technology for the purpose of computation acceleration. It describes object tracking methods in video and is especialy aimed at particle filter. It also describes the CUDA architecture. Implementation and optimalization techniques used in application are explained. The work ends with performing speed tests and the tracking ability of the algorithm is verified on various videos.
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Object Tracking in a Sequence of Images
Švancar, Boris ; Doležel, Michal (referee) ; Orság, Filip (advisor)
The bachelor thesis deals with motion detection and object tracking in video sequence from static and dynamic cameras. The background subtraction method along with using of background updating and Lucas-Kanade optical flow method are introduced in my thesis as well. Both methods are implemented in the test application in the language C++ using OpenCV and Qt libraries and consequently both of them are tested. The results are evaluated in conclusion of the bachelor thesis.
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Detection and Tracking of Small Moving Objects
Záděra, David ; Mlích, Jozef (referee) ; Juránek, Roman (advisor)
This thesis summarizes and describes the methods for detecting and tracking moving objects in video. The detection methods discussed in the working are background subtraction, segmentation and detection methods using classifiers. From tracking methods are presented Kalman filter, TLD method and particle filter, which is described in detail in a separate chapter. Particle filter is a tracking method that calculates a new estimate of the state of the object based on a set of particles. These particles are defined by their positions and weights. For each next state are these values iteratively updated by measurment and resampling. From the acquired knowledge and expertise has been created a program that demonstrates the activity of the particle filter. This program is part of the DVD, where are also the samples and test results.
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Independent Positioner Controlled by Microcontroller
Bordovský, Tomáš ; Povalač, Aleš (referee) ; Šebesta, Jiří (advisor)
The project is focused on an analysis and design of an autonomous positioning system with high precision for an astronomical telescope or another device. Although, there are already such devices in the market, so they are too expensive for common people. These systems are used in the astronomy, radio-amateur communication and robotics or for optimum positioning of the solar panel. In this paper, requirements on construction of system working in wide range of conditions, electronic subsystems, control algorithms, and calibration method are analyzed. There are also complete circuit diagrams and printed circuit boards, also the built-up parts of the positioner are presented.
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Hiding Moving Objects in Video Sequences
Dostál, Martin ; Zahrádka, Jiří (referee) ; Španěl, Michal (advisor)
Hiding moving objects in video sequences is an interesting topic in computer vision. In this thesis, a real-time single object tracking and removal method is proposed. An input video is assumed to be captured with static video camera. Motion detection is based on a background subtraction using Mixture of Gaussians as the representation of background. The object tracking is realized by a combination of blobs comparison and computation of optical flow using Lucas-Kanade method. Consequent object removal makes use of created background model.
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Software for Traffic Monitoring
Tesař, Filip ; Zahrádka, Jiří (referee) ; Španěl, Michal (advisor)
This thesis deals with detection and tracking of moving objects in video sequences. The aim of this work is design and implementation of an application, which uses video sequence capturing car traffic to acquire statistical data about each vehicle, such as its speed estimate and determination of its lane. The proposed application uses background subtraction method 'Mixture of Gaussians' and enables monitoring of multiple locations at the same time using independent cameras. The output data are saved into database and users are allowed to display statistics in graphs through a simple web interface.
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