Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories

@article{Wu2017CrowdBA,
  title={Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories},
  author={Shuang Wu and Hua Yang and Shibao Zheng and Hang Su and Yawen Fan and Ming-Hsuan Yang},
  journal={International Journal of Computer Vision},
  year={2017},
  volume={123},
  pages={499-519}
}
In the field of crowd behavior analysis, existing methods mainly focus on using local representations inspired by models found in other disciplines (e.g., fluid dynamics and social dynamics) to describe motion patterns. However, less attention is paid to exploiting motion structures (e.g., visual information contained in trajectories) for behavior analysis. In this paper, we consider both local characteristics and global structures of a motion vector field, and propose the Curl and Divergence… CONTINUE READING
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Citations

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Motion sketch based crowd video retrieval

Shuang Wu, Hua Yang, +3 authors Xu Lu
  • Multimedia Tools and Applications
  • 2017
VIEW 9 EXCERPTS
CITES BACKGROUND, METHODS & RESULTS
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Motion sketch based crowd video retrieval via motion structure coding

  • 2016 IEEE International Conference on Image Processing (ICIP)
  • 2016
VIEW 4 EXCERPTS
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