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Recently, detecting abnormal events in surveillance videos has become one of the most important tasks of video analysis. There is a huge demand in developing fast and accurate abnormal event detection approach. However, traditional pixel-domain approaches are time-consuming and require fully decoding of the bit streams. On the other hand, the compression format may provide useful information to solve...
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 blob sequence optimization process which integrates spatial, temporal, size, and motion correlation among objects to extract suitable abnormal blob sequences. With this process, blob extraction errors due to occlusion...
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