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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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Counting People on the FIT Foot Bridge
Maliňák, Václav ; Nečas, Ondřej (referee) ; Herout, Adam (advisor)
This thesis is devoted to determining the number of moving object in video sequences. It explains principles and basic methods of moving object detection in video sequences. Methods such as LBP, optical flow and intensity histograms are mentioned, background subtraction method is examined more deeply. Afterwards, the principles of object tracking is explained, as well as possible methods of object counting. An important part of this thesis constitutes implementation of an application that was tested on videos capturing people at move over the FIT foot bridge. At the end of this thesis, application measure of success is evaluated.
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Moving Object Detection in Video Using CUDA
Horák, František ; Nečas, Ondřej (referee) ; Herout, Adam (advisor)
This thesis deals with methods of moving object detection in video; by selecting and applying proper algorithms and implementing them with CUDA. Technology CUDA is described and wieved it's architecture and other parts. General principles of moving object detection are observed and modification are discussed. Final system is implemented and tested.
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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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|
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Counting People on the FIT Foot Bridge
Maliňák, Václav ; Nečas, Ondřej (referee) ; Herout, Adam (advisor)
This thesis is devoted to determining the number of moving object in video sequences. It explains principles and basic methods of moving object detection in video sequences. Methods such as LBP, optical flow and intensity histograms are mentioned, background subtraction method is examined more deeply. Afterwards, the principles of object tracking is explained, as well as possible methods of object counting. An important part of this thesis constitutes implementation of an application that was tested on videos capturing people at move over the FIT foot bridge. At the end of this thesis, application measure of success is evaluated.
|
|
|
Moving Object Detection in Video Using CUDA
Horák, František ; Nečas, Ondřej (referee) ; Herout, Adam (advisor)
This thesis deals with methods of moving object detection in video; by selecting and applying proper algorithms and implementing them with CUDA. Technology CUDA is described and wieved it's architecture and other parts. General principles of moving object detection are observed and modification are discussed. Final system is implemented and tested.
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