Abnormal Crowd Behavior Detection Based on LBP-weighted Social Force Model
LI Chuanzhi · Video Engineering · 2012
In view of the situation that traditional anomaly detection algorithms using social force model usually ignore the differences between different regions of the scene,a method of abnormal crowd behavior detection is proposed based on spatiotemporal LBP-weighted social force model.This algorithm integrates the time domain characteristics and regional information contained in the spectral characteristics of spatiotemporal LBP sequence into the social force model,enabling the model of the crowd more accurate.Experiments show that recall and precision of the proposed algorithm are greatly improved.