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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 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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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 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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