Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/52646

MCMC-based human tracking with stereo cameras under frequent interaction and occlusion

Authors Ming, Cheung Pak HKUST affiliated (currently or previously).
Woo, Kam Tim View this author's profile
Issue Date 2012
Source 2012 5th IEEE Symposium on Computational Intelligence for Security and Defence Applications, CISDA 2012, Ottawa, ON, Canada , 11-13 July 2012, Article number 6291515
Summary Human Tracking in a video sequence is an important task in civilian surveillance. Successful human tracking provides data for security-purposes. However, human tracking in video sequences is always a challenging problem. Due to the rapid changes in shape with irregular motion, typical methods may not have good results, especially under occlusion and interaction. Recently, methods based on multiple cameras have been proposed. However, this requires a high computation cost. In the stereo cameras approach, 3D information is obtained and projected onto an occupancy map. In this paper, we propose an algorithm combining the occlusion and interaction model and Markov Chain Monte Carlo (MCMC) such that humans can be tracked under frequent interaction and occlusion. We have successfully reduced the number of failures by 78%. We present an efficient and effective algorithm under frequent interaction and occlusion. © 2012 IEEE.
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Language English
Format Conference paper
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