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Motion Detection in Video Sequences
Jelínek, Tomáš ; Herout, Adam (referee) ; Španěl, Michal (advisor)
This thesis is dedicated to techniques for motion detection in video sequences. There is summary of several possible approaches to solve this matter in theoretical and practical point of view. Principles of motion detection based on difference between frames are discussed in details. Great attention is made for image description by new method Local Binary Patterns which allows creating of incredibly fast and accurate motion detector. Vital part of this thesis is application for monitoring and testing motion algorithms on video sequences in different environments. Results of measuring enables to determine best approaches for concrete place and reader might find it useful in case of designing his own motion detectors.
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Hand and Finger Detection in the Video Sequences
Šulek, Jakub ; Procházka, Boris (referee) ; Dluhoš, Ondřej (advisor)
The thesis deals with problems concerning detection of human hand and fingers in the videosequences, especially navigation and determination of correct distribution of fingers. There is an opening presentation of existing biometrics, description of biometric system and hand anatomy. After are given the methods of hand geometry recognition and functional example description. Consequently there is a proposal of a new solution. Program uses open source OpenCV library based on hand's significant points detection. The next part of the thesis is dedicated to navigation, detection of known states and description of order determining mechanism.
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Hand and Finger Detection in the Video Sequences
Šulek, Jakub ; Procházka, Boris (referee) ; Dluhoš, Ondřej (advisor)
The thesis deals with problems concerning detection of human hand and fingers in the videosequences, especially navigation and determination of correct distribution of fingers. There is an opening presentation of existing biometrics, description of biometric system and hand anatomy. After are given the methods of hand geometry recognition and functional example description. Consequently there is a proposal of a new solution. Program uses open source OpenCV library based on hand's significant points detection. The next part of the thesis is dedicated to navigation, detection of known states and description of order determining mechanism.
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Motion Detection in Video Sequences
Jelínek, Tomáš ; Herout, Adam (referee) ; Španěl, Michal (advisor)
This thesis is dedicated to techniques for motion detection in video sequences. There is summary of several possible approaches to solve this matter in theoretical and practical point of view. Principles of motion detection based on difference between frames are discussed in details. Great attention is made for image description by new method Local Binary Patterns which allows creating of incredibly fast and accurate motion detector. Vital part of this thesis is application for monitoring and testing motion algorithms on video sequences in different environments. Results of measuring enables to determine best approaches for concrete place and reader might find it useful in case of designing his own motion detectors.
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