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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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Counting People on the FIT Foot Bridge
Mokrá, Radka ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This thesis deals with methods for counting moving objects in video. It explains background subtraction method and its techniques, then it explains methods for detection, tracking and counting blobs. Output of this thesis is application which uses described principles for counting groups of people on the footbridge between buildings of Faculty of Information Technology, University of Technology in Brno.
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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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Counting People on the FIT Foot Bridge
Mokrá, Radka ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This thesis deals with methods for counting moving objects in video. It explains background subtraction method and its techniques, then it explains methods for detection, tracking and counting blobs. Output of this thesis is application which uses described principles for counting groups of people on the footbridge between buildings of Faculty of Information Technology, University of Technology in Brno.
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