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Applied Computational Intelligence and Soft Computing
Volume 2017, Article ID 5861435, 11 pages
https://doi.org/10.1155/2017/5861435
Research Article

Mining Key Skeleton Poses with Latent SVM for Action Recognition

1School of Computer Engineering and Science, Shanghai University, Shanghai, China
2School of Mathematic and Statistics, Nanyang Normal University, Nanyang, China

Correspondence should be addressed to Xiaoqiang Li; nc.ude.uhs.i@ilqx and Dong Liao; nc.ude.unyn@gnodoail

Received 23 August 2016; Revised 8 November 2016; Accepted 15 December 2016; Published 23 January 2017

Academic Editor: Lei Zhang

Copyright © 2017 Xiaoqiang Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xiaoqiang Li, Yi Zhang, and Dong Liao, “Mining Key Skeleton Poses with Latent SVM for Action Recognition,” Applied Computational Intelligence and Soft Computing, vol. 2017, Article ID 5861435, 11 pages, 2017. https://doi.org/10.1155/2017/5861435.