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Applied Computational Intelligence and Soft Computing
Volume 2017, Article ID 4019213, 7 pages
https://doi.org/10.1155/2017/4019213
Research Article

Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature

School of Computer Engineering and Sciences, Shanghai University, Shanghai 200444, China

Correspondence should be addressed to Xiaoqiang Li; nc.ude.uhs.i@ilqx

Received 4 August 2016; Revised 22 March 2017; Accepted 17 September 2017; Published 19 October 2017

Academic Editor: Francesco Carlo Morabito

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, Dan Wang, and Yin Zhang, “Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature,” Applied Computational Intelligence and Soft Computing, vol. 2017, Article ID 4019213, 7 pages, 2017. https://doi.org/10.1155/2017/4019213.