• Infrared Technology
  • Vol. 44, Issue 12, 1316 (2022)
Jie KANG1, Ye TIAN1, and Gang YANG2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    KANG Jie, TIAN Ye, YANG Gang. Research on Crowd Abnormal Behavior Detection Based on Improved SSD[J]. Infrared Technology, 2022, 44(12): 1316 Copy Citation Text show less
    References

    [1] HU Y. Design and implementation of abnormal behavior detection based on deep intelligent analysis algorithms in massive video surveillance[J]. Journal of Grid Computing, 2020, 18(2): 227-237.

    [4] Almazroey A A, Jarraya S K. Abnormal events and behavior detection in crowd scenes based on deep learning and neighborhood component analysis feature selection[C]//Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020), 2020: 258-267.

    [5] MU Y L, ZHANG B. Abnormal event detection and localization in visual surveillance[C]//Communications, Signal Processing, and Systems, 2020: 1217-1225.

    [6] LIU W, Anguelov D, Erhan D, et al. SSD: Single shot multibox detector[C]//Proceedings of European Conference on Computer Vision, 2016: 21-37.

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    [10] DAI J F, QI H Z, XIONG Y W, et al. Deformable Convolutional Networks[C]//2017 IEEE International Conference on Computer Vision (ICCV), 2017: 764-773.

    [11] Mahadevan V, LI W, Bhalodia V, et al. Anomaly detection in crowded scenes[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2010: 1975-1981.

    [12] WU W H, CHEN M Y, LI J H, et al. Visual information based social force model for crowd evacuation[J]. Tsinghua Science and Technology, 2022, 27(3): 619-629.

    [13] PANG G S, YAN C, SHEN C H, et al. Self-trained deep ordinal regression for end-to-end video anomaly detection[C]//2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020: 12170-12179.

    KANG Jie, TIAN Ye, YANG Gang. Research on Crowd Abnormal Behavior Detection Based on Improved SSD[J]. Infrared Technology, 2022, 44(12): 1316
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