Detection of Abnormal Crowd Behavior Based on ViBE and Optical Flow Methods

Author:

Zhao Xinqian,Chen Jian,Lin Hongwei,Zhao Yibo,Wei Changchuan

Publisher

Springer Nature Singapore

Reference20 articles.

1. Zhang, Z.: A review of abnormal behavior detection techniques. Comput. Knowl. Technol. 16(06), 199–201 (2020). (in Chinese)

2. Wu, X., Guo, H., Li, N.: Survey on the video-based abnormal event detection in crowd scenes. J. Electron. Measur. Instrum. 28(06), 575–584 (2014). (in Chinese)

3. Wu, X., Ou, Y., Qian, H.: A detection system for human abnormal behavior. In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE (2005)

4. Nady, A., Atia, A., Abutabl, A.E.: Real-time abnormal event detection in crowded scenes. J. Theor. Appl. Inf. Technol. 96(18), 6064–6075 (2018)

5. Chen, X., Lai, J.: Detecting abnormal crowd behaviors based on the div-curl characteristics of flow fields. Pattern Recogn. 88, 342–355 (2019)

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