Structural feature representation and fusion of human spatial cooperative motion for action recognition-Reference-Cited by-同舟云学术

Structural feature representation and fusion of human spatial cooperative motion for action recognition

Published:2023-01-30 Issue:3 Volume:29 Page:1301-1314
ISSN:0942-4962
Container-title:Multimedia Systems
language:en
Short-container-title:Multimedia Systems

Author:

Chao Xin,Hou Zhenjie,Mo Yujian,Shi Haiyong,Yao Wenjing

Funder

Open Research Foundation of Jiangsu Digital Twin Technology Engineering Research Center for Key Equipment of Petrochemical Process

Project of Scientific Research Innovation Plan for Postgraduates in Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s00530-023-01054-5.pdf

Reference45 articles.

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4. Dhiman, C., Vishwakarma, D.K.: A robust framework for abnormal human action recognition using R -Transform and zernike moments in depth videos. IEEE Sens. Journal. 19(13), 5195–5203 (2019)

5. Hou, R., Chen, C., Shah, M.: Tube convolutional neural network (t-cnn) for action detection in videos. Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA (2017)