Abstract:

We propose a detection method based on optical flow to detect the abnormal crowded behavior in a crowd scene. In this method, the motion characteristics of the crowd are extracted by using the optical flow vector field. Then the interaction force between the particles is calculated based on the social force model. Finally, we implement histogram entropy discrimination process on the interaction force to achieve the discrimination of crowd behavior. Simulation results show that the algorithm can distinguish the size of the interaction force in abnormal regions in the crowd scene, identify and locate the abnormal congestion.

Key words: optical flow computation, crowd behavior, social-force model, histogram statistics, entropy