Opto-Electronic Engineering, Volume. 51, Issue 5, 240034(2024)

Improved spatio-temporal graph convolutional networks for video anomaly detection

Hongmin Zhang*... Dingding Yan and Qianqian Tian |Show fewer author(s)
Author Affiliations
  • School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China
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    References(41)

    [11] T N Kipf, M Welling. Semi-supervised classification with graph convolutional networks(2017).

    [20] J D Lafferty, A McCallum, F C N Pereira. Conditional random fields: probabilistic models for segmenting and labeling sequence data, 282-289(2001).

    [22] P Krähenbühl, V Koltun. Efficient inference in fully connected CRFs with Gaussian edge potentials, 109-117(2011).

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    Hongmin Zhang, Dingding Yan, Qianqian Tian. Improved spatio-temporal graph convolutional networks for video anomaly detection[J]. Opto-Electronic Engineering, 2024, 51(5): 240034

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    Paper Information

    Category: Article

    Received: Feb. 1, 2024

    Accepted: Apr. 10, 2024

    Published Online: Jul. 31, 2024

    The Author Email: Zhang Hongmin (张红民)

    DOI:10.12086/oee.2024.240034

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