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In this paper, a novel crowd behavior representation, Bag of Trajectory Graphs (BoTG), is presented for dense crowd event recognition. To overcome huge loss of crowd structure and variability of motion in previous particle flow based methods, we design group-level representation beyond particle flow. From the observation that crowd particles are composed of atomic subgroups corresponding to informative...
In this paper, a novel social attribute-aware force model is presented for abnormal crowd pattern detection in video sequences. We take social characteristics of crowd behaviors into account in order to improve the effectiveness of the simulation on the interaction behaviors of the crowd. A quick unsupervised method is proposed to estimate the scene scale. Both the social disorder attribute and congestion...
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