A Classification Method Based on Multi-Features for Abnormal Crowd Behaviors
Xiaofei Wang, Jun Hu, Yin Kuang, Wei Yu, Rui Feng Sun · Applied Mechanics and Materials · 2014
An abnormal crowd behavior would harm social public security. Different abnormal crowd behaviors would bring about different harms and subject to different attentions of social public. The higher the harm of the abnormal crowd behavior was, the higher the attention of the social public would be. Therefore, in this paper, a classification method, using crowd density estimation and crowd intensity, is proposed for abnormal crowd behaviors. In order to describe the abnormal crowd behavior more reasonably, we shoot some videos. Finally, the effectiveness and accuracy of our method for abnormal behavior classification is validated by the experimental results.