[1] |
LI Yangzhi, YUAN Jiazheng, LIU Hongzhe.
Human skeleton-based action recognition algorithm based on spatiotemporal attention graph convolutional network model
[J]. Journal of Computer Applications, 2021, 41(7): 1915-1921.
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[2] |
TIAN Zhiqiang, DENG Chunhua, ZHANG Junwen.
Human behavior recognition algorithm based on skeletal temporal divergence feature
[J]. Journal of Computer Applications, 2021, 41(5): 1450-1457.
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[3] |
GUO Tianxiao, HU Qingrui, LI Jianwei, SHEN Yanfei.
Fitness action recognition method based on human skeleton feature encoding
[J]. Journal of Computer Applications, 2021, 41(5): 1458-1464.
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[4] |
QIANG Baohua, ZHAI Yijie, CHEN Jinlong, XIE Wu, ZHENG Hong, WANG Xuewen, ZHANG Shihao.
Lightweight human skeleton key point detection model based on improved convolutional pose machines and SqueezeNet
[J]. Journal of Computer Applications, 2020, 40(6): 1806-1811.
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[5] |
LIANG Xuehui, CHENG Yunze, ZHANG Ruijie, ZHAO Fei.
Bridge crack classification and measurement method based on deep convolutional neural network
[J]. Journal of Computer Applications, 2020, 40(4): 1056-1061.
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[6] |
HE Hailin, ZHENG Jianbin, YU Fangli, YU Lie, ZHAN Enqi.
Exoskeleton robot gait detection based on improved whale optimization algorithm
[J]. Journal of Computer Applications, 2019, 39(7): 1905-1911.
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[7] |
YU Lu, HU Jianfeng, YAO Leiyue.
Detection method of non-standard deep squat posture based on human skeleton
[J]. Journal of Computer Applications, 2019, 39(5): 1448-1452.
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[8] |
WANG Jianbing, LI Jun.
Human skeleton key point detection method based on OpenPose-slim model
[J]. Journal of Computer Applications, 2019, 39(12): 3503-3509.
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[9] |
JI Xiaofei, QIN Linlin, WANG Yangyang.
Human interaction recognition based on RGB and skeleton data fusion model
[J]. Journal of Computer Applications, 2019, 39(11): 3349-3354.
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[10] |
WANG Jiarun, REN Fei, RONG Ming, LUO Tongxin.
Color gradient filling using main skeleton in complex shape
[J]. Journal of Computer Applications, 2018, 38(3): 829-835.
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[11] |
YAN Desai, ZENG Cheng.
Eyeball control accuracy improvement method based on digital image processing
[J]. Journal of Computer Applications, 2018, 38(10): 3013-3016.
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[12] |
HUANG Feng, WANG Xiaoming.
Enhanced self-learning super-resolution approach for single image
[J]. Journal of Computer Applications, 2017, 37(9): 2636-2642.
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[13] |
WANG Hongxia, WANG kun.
Static gesture recognition method based on locking mechanism
[J]. Journal of Computer Applications, 2016, 36(7): 1959-1964.
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[14] |
LU Zhongqiu, HOU Zhenjie, CHEN Chen, LIANG Jiuzhen.
Action recognition based on depth images and skeleton data
[J]. Journal of Computer Applications, 2016, 36(11): 2979-2984.
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[15] |
CHEN Lu, WANG Xiaopeng, ZHANG Huawei, WU Shuang.
Liver tumor CT image segmentation method using multi-scale morphology of eliminating local minima
[J]. Journal of Computer Applications, 2015, 35(8): 2332-2335.
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