Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 4, 530(2022)
Campus violence action recognition based on lightweight graph convolution network
[7] YAN S J, XIONG Y J, LIN D H. Spatial temporal graph convolutional networks for skeleton-based action recognition[C], 7444-7452(2018).
[8] ZHAO M F, LIU S, SONG T et al. Spatial enhancement of human skeleton behavior recognition based on residual independent recurrent neural network[J]. Laser Journal, 41, 37-43(2020).
[9] CAO Y, LIU C, HUANG Z L et al. Skeleton-based action recognition based on spatio-temporal adaptive graph convolutional neural-network[J]. Journal of Huazhong University of Science and Technology (Nature Science Edition), 48, 5-10(2020).
[11] KONG W, LIU Y, LI H et al. A survey of action recognition methods based on graph convolutional network[J]. Control and Decision, 36, 1537-1546(2021).
[13] ZHU J B, XU Z L, SUN Y W et al. Detection of dangerous behaviors in power stations based on OpenPose multi-person attitude recognition[J]. Automation & Instrumentation, 35, 47-51(2020).
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Qi LI, Yao-hui DENG, Jiao WANG. Campus violence action recognition based on lightweight graph convolution network[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(4): 530
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Received: Aug. 31, 2021
Accepted: --
Published Online: Jun. 20, 2022
The Author Email: Yao-hui DENG (173743077@qq.com)