Most gait recognition approaches only study human walking frontoparallel to the image plane which is not realistic in video surveillance applications. Human gait appearance depends on various factors including locations of the camera and the person, the camera axis and the walking direction. By analyzing these factors, we propose a statistical approach for view-insensitive gait recognition. The proposed approach recognizes human using a single camera, and avoids the difficulties of recovering the human body structure and camera calibration. Experimental results show that the proposed approach achieves good performance in recognizing individuals walking along different directions.
A study on view-insensitive gait recognition
IEEE International Conference on Image Processing 2005 ; 3 ; III-297
2005-01-01
169252 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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