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Multiperson activity recognition in videos is a challenging task, due to the complexity of interactions among multiple persons. In this paper, a new statistical model, named coupled observation decomposed hidden Markov model (CODHMM), is presented to model multiperson activities in videos. A human activity that involves multiple persons is analyzed in two levels: the individual level that describes...
Anomaly detection in crowd scene is very important because of more concern with people safety in public place. This paper presents an approach to automatically detect abnormal behavior in crowd scene. For this purpose, instead of tracking every person, KLT corners are extracted as feature points to represent moving objects and tracked by optical flow technique to generate motion vectors, which are...
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