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The Scientific World Journal
Volume 2014 (2014), Article ID 513240, 12 pages
Research Article

Gender Recognition from Unconstrained and Articulated Human Body

1Department of Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China
2Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA

Received 5 January 2014; Accepted 17 March 2014; Published 7 April 2014

Academic Editors: L. Lin and A. Subasi

Copyright © 2014 Qin Wu and Guodong Guo. 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

Qin Wu and Guodong Guo, “Gender Recognition from Unconstrained and Articulated Human Body,” The Scientific World Journal, vol. 2014, Article ID 513240, 12 pages, 2014. doi:10.1155/2014/513240