View-Invariant Human Action Recognition Based on a 3D Bio-Constrained Skeleton Model-Reference-Cited by-同舟云学术

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View-Invariant Human Action Recognition Based on a 3D Bio-Constrained Skeleton Model

Published:2019-08 Issue:8 Volume:28 Page:3959-3972
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Nie Qiang^ORCID,Wang Jiangliu,Wang Xin,Liu Yunhui^ORCID

Funder

Huawei Technologies

Hong Kong Research Grants Council (HK RGC)

Chinese University of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8736481/08672922.pdf?arnumber=8672922

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing action recognition from low-quality skeleton data via part-level knowledge distillation;Signal Processing;2024-08

2. Human-centric multimodal fusion network for robust action recognition;Expert Systems with Applications;2024-04

3. Human Action Recognition from Video Frames Using Recurrent Neural Network;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

4. View Stabilized Skeleton Joint Descriptor for Human Action Recognition from Skeleton Joints;2024 National Conference on Communications (NCC);2024-02-28

5. AutoGCN-Toward Generic Human Activity Recognition With Neural Architecture Search;IEEE Access;2024

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