Laser & Optoelectronics Progress, Volume. 57, Issue 6, 061506(2020)

Detection Algorithm of Crowd Abnormal Event Based on Girvan-Newman Splitting

Wentao Li, han Fu, Zhen Hao, Yan Ten, Lin Yan, Peiran Zhao, and Xuewu Zhang*
Author Affiliations
  • College of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu 213022, China
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    References(16)

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    [6] Hu X, Huang Y P, Zhang H L et al. Video anomaly detection using deep incremental slow feature analysis network[J]. IET Computer Vision, 10, 258-267(2016).

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    [15] Rabiee H, Haddadnia J, Mousavi H et al. Novel dataset for fine-grained abnormal behavior understanding in crowd. [C]∥2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), August 23-26, 2016, Colorado Springs, CO, USA. New York: IEEE, 95-101(2016).

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    Wentao Li, han Fu, Zhen Hao, Yan Ten, Lin Yan, Peiran Zhao, Xuewu Zhang. Detection Algorithm of Crowd Abnormal Event Based on Girvan-Newman Splitting[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061506

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    Paper Information

    Category: Machine Vision

    Received: Aug. 20, 2019

    Accepted: Sep. 6, 2019

    Published Online: Mar. 6, 2020

    The Author Email: Xuewu Zhang (Lab_112@126.com)

    DOI:10.3788/LOP57.061506

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