Multiview-based cooperative tracking of multiple human objects

Authors:
Kuo-Chin Lien;Chung-Lin Huang
Affiliations:
Institute of Electrical Engineering, National Tsing Hua University, Hsin-Chu, Taiwan;Institute of Electrical Engineering, National Tsing Hua University, Hsin-Chu, Taiwan and Department of Informatics, Fo-Guang University, I-Lan, Taiwan
Venue:
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Year:
2008

Citing 14
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Abstract

Human tracking is a popular research topic in computer vision. However, occlusion problem often complicates the tracking process. This paper presents the so-called multiview-based cooperative tracking of multiple human objects based on the homographic relation between different views. This cooperative tracking applies two hidden Markov processes (tracking and occlusion processes) for each target in each view. The tracking process locates the moving target in each view, whereas the occlusion process represents the possible visibility of the specific target in that designated view. Based on the occlusion process, the cooperative tracking process may reallocate tracking resources for different trackers in different views. Experimental results show the efficiency of the proposed method.