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We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a similar underlying motion field. This is done directly from the intensity information, without explicitly computing the underlying motions. Such a measure allows us to detect similarity between video segments of differently dressed people performing the same type of activity. It requires no foreground/backgrounddoi:10.1109/cvpr.2005.328 dblp:conf/cvpr/ShechtmanI05 fatcat:g3m5ucahufbrfgabgpssaytoom