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Automatic surveillance analyzer using trajectory and body-based modeling
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
doi:10.1109/icce.2009.5012362
fatcat:x3rk4ij6onagzi4g5ivi2gohry