Automatic surveillance analyzer using trajectory and body-based modeling

Weilun Lao, Jungong Han, Peter H.N. de With
2009 2009 Digest of Technical Papers International Conference on Consumer Electronics  
With the continuous improvements in computervision techniques, automatic low-cost video surveillance gradually emerges for consumer applications. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. We propose a fast analyzer for surveillance video, which aims at automatic analysis of human behavior and semantic events. Our analyzer employs visual cues to track moving persons and classify human-body postures from a
more » ... cular video. It consists of three processing steps: (1) multi-person detection, (2) persons tracking with trajectory estimation, and (3) posture classification. We show attractive experimental results, highlighting the system efficiency and classification capability.
doi:10.1109/icce.2009.5012362 fatcat:x3rk4ij6onagzi4g5ivi2gohry