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The aim of this paper was to address the problem of dense crowd event recognition in the surveillance video. Previous particle flow-based methods efficiently capture the convolutional motion in the crowded scene. However, the group-level description was rarely studied due to huge loss of group structure and intra-class variability. To address these issues, we present a novel crowd behavior representation...
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