Research on Multi-Person Pose Estimation Technology

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[8] M. Kocabas, S. Karagoz, and E. Akbas. MultiPoseNet: Fast multi-person pose estimation using pose residual network. In ECCV, 2018. Kocabas M. Karagoz S. Akbas E. MultiPoseNet: Fast multi-person pose estimation using pose residual network . In ECCV , 2018 . Search in Google Scholar

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[11] A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam. Mobilenets: Efficient convolutional neural networks for mobile vision applications. In arXiv preprint arXiv:1704.04861, 2017. Howard A. G. Zhu M. Chen B. Kalenichenko D. Wang W. Weyand T. Andreetto M. Adam H. Mobilenets: Efficient convolutional neural networks for mobile vision applications . In arXiv preprint arXiv:1704.04861 , 2017 . Search in Google Scholar

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[13] A. Toshev and C. Szegedy. Deeppose: Human pose estimation via deep neural networks. In CVPR, 2014. Toshev A. Szegedy C. Deeppose: Human pose estimation via deep neural networks . In CVPR , 2014 . Search in Google Scholar

[14] U. Iqbal and J. Gall. Multi-person pose estimation with local joint-to-person associations. In ECCV Workshops, Crowd Understanding, 2016. Iqbal U. Gall J. Multi-person pose estimation with local joint-to-person associations . In ECCV Workshops, Crowd Understanding , 2016 . Search in Google Scholar

[15] Li Yifan, Yuan Longjian, Wang Rui. Improved Lightweight Human Action Recognition Model Based on OpenPose % J Electronic Measurement Technology [J]. 2022, 45(01): 89–95. Yifan Li Longjian Yuan Rui Wang Improved Lightweight Human Action Recognition Model Based on OpenPose % J Electronic Measurement Technology [J] . 2022 , 45 ( 01 ): 89 – 95 . Search in Google Scholar

[16] K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. In ICLR, 2015. Simonyan K. Zisserman A. Very deep convolutional networks for large-scale image recognition . In ICLR , 2015 . Search in Google Scholar