Gait recognition using Hough transform and principal component analysis

Authors:
Ling-Feng Liu;Wei Jia;Yi-Hai Zhu
Affiliations:
Hefei Institute of Intelligent Machines, CAS, Hefei, China and Department of Automation, University of Science and Technology of China;Hefei Institute of Intelligent Machines, CAS, Hefei, China;Hefei Institute of Intelligent Machines, CAS, Hefei, China and Department of Automation, University of Science and Technology of China
Venue:
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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Abstract

In this paper, we propose a new spatio-temporal representation for gait recognition. Firstly, the new representation of gait is constructed, which is the average of the Hough transformed images in one complete cycle of a silhouette sequence. Secondly, we project the new representation to low dimension by applying Principal Component Analysis. Finally, the nearest neighbor rule is adopted for recognition. The results of experiments conducted on CASIA-A Gait Database show that the proposed gait recognition approach can obtain encouraging accurate recognition rates.