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In this paper, we propose a new approach to detect abnormal activities in surveillance videos and create suitable summary videos accordingly. The proposed approach first introduces a patch-based method to automatically model normal activity patterns and key regions in a scene. In this way, abnormal activities can be effectively detected and classified from the modeled normal patterns and key regions...
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