Understanding pedestrian behaviors from stationary crowd groups

  title={Understanding pedestrian behaviors from stationary crowd groups},
  author={Shuai Yi and Hongsheng Li and Xiaogang Wang},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
Pedestrian behavior modeling and analysis is important for crowd scene understanding and has various applications in video surveillance. Stationary crowd groups are a key factor influencing pedestrian walking patterns but was largely ignored in literature. In this paper, a novel model is proposed for pedestrian behavior modeling by including stationary crowd groups as a key component. Through inference on the interactions between stationary crowd groups and pedestrians, our model can be used to… CONTINUE READING

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