Table of Contents
ISRN Machine Vision
Volume 2012 (2012), Article ID 872131, 9 pages
http://dx.doi.org/10.5402/2012/872131
Research Article

Chord-Length Shape Features for Human Activity Recognition

Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, 39106 Magdeburg, Germany

Received 2 August 2012; Accepted 20 September 2012

Academic Editors: M. La Cascia, A. Prati, J. M. Tavares, and C. S. Won

Copyright © 2012 Samy Sadek 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

Samy Sadek, Ayoub Al-Hamadi, Bernd Michaelis, and Usama Sayed, “Chord-Length Shape Features for Human Activity Recognition,” ISRN Machine Vision, vol. 2012, Article ID 872131, 9 pages, 2012. doi:10.5402/2012/872131