2D Human Skeleton Action Recognition Based on Depth Estimation
Author:
Affiliation:
1. Sichuan University
2. Chengdu Aeronautic Polytechnic
3. Chengdu University of Information Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Link
https://www.jstage.jst.go.jp/article/transinf/E107.D/7/E107.D_2023EDP7223/_pdf
Reference43 articles.
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3. [3] C.N. Phyo, T.T. Zin, and P. Tin, “Deep learning for recognizing human activities using motions of skeletal joints,” IEEE Trans. Consum. Electron., vol.65, no.2, pp.243-252, 2019. 10.1109/tce.2019.2908986
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5. [5] D. Eigen, C. Puhrsch, and R. Fergus, “Depth map prediction from a single image using a multi-scale deep network,” Advances in Neural Information Processing Systems, vol.27, 2014.
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