[1] [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] [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] [5] MU Y L, ZHANG B. Abnormal event detection and localization in visual surveillance[C]//Communications, Signal Processing, and Systems, 2020: 1217-1225.

[6] [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.

[7] [7] HOU Q B, ZHOU D Q, FENG J S. Coordinate attention for efficient mobile network design[C]//2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021: 13708-13717.

[8] [8] Ali K, MOHAMMAD S M. Improved anomaly detection in surveillance videos based on a deep learning method[C]// 8th Conference of AI & Robotics and 10th RoboCup Iranopen International Symposium, 2018: 73-81.

[9] [9] Sandler M, Howard A, Zhu M, et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018: 4510-4520.

[10] [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] [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] [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] [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.