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Pedestrians Tracking in a Video Record from a Stationary Camera
Trnkal, Milan ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
This bachelor thesis focuses on pedestrians tracking from camera. In this work, I have introduced several methods of computer vision suitable for detection and classification of people. I proposed an algorithm for detecting and tracking pedestrians based on detection of movement. The application uses a Histogram of Oriented Gradients and SVM classifier together with color histograms for identification of pedestrians. Pedestrian's trajectories are then rendered to the output. Last part of the thesis deals with testing and evaluation of the results of the algorithm.
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Movement Identification in the Space
Šolony, Marek ; Beran, Vítězslav (referee) ; Potúček, Igor (advisor)
The aim of this paper is to suggest optical system capable of movement identification in space and its reconstruction. The motion capture system uses markers attached to parts of human body, and a camera pair to capture the movement. This paper describes step-by-step parts of this system. Epipolar geometry is used to deal with problem of object correspondence between two views.
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Pedestrians Tracking in a Video Record from a Stationary Camera
Trnkal, Milan ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
This bachelor thesis focuses on pedestrians tracking from camera. In this work, I have introduced several methods of computer vision suitable for detection and classification of people. I proposed an algorithm for detecting and tracking pedestrians based on detection of movement. The application uses a Histogram of Oriented Gradients and SVM classifier together with color histograms for identification of pedestrians. Pedestrian's trajectories are then rendered to the output. Last part of the thesis deals with testing and evaluation of the results of the algorithm.
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Movement Identification in the Space
Šolony, Marek ; Beran, Vítězslav (referee) ; Potúček, Igor (advisor)
The aim of this paper is to suggest optical system capable of movement identification in space and its reconstruction. The motion capture system uses markers attached to parts of human body, and a camera pair to capture the movement. This paper describes step-by-step parts of this system. Epipolar geometry is used to deal with problem of object correspondence between two views.
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