Gait Recognition Based on Silhouette, Contour and Classifier Ensembles

Authors:
M. Romero-Moreno;J. Fco. Martínez-Trinidad;J. A. Carrasco-Ochoa
Affiliations:
Computer Science Department, INAOE, Tonantzintla, México;Computer Science Department, INAOE, Tonantzintla, México;Computer Science Department, INAOE, Tonantzintla, México
Venue:
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Year:
2008

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Abstract

Gait Recognition is a non-invasive biometric technique for identifying persons through the way they walk. Currently there are many Gait Recognition methods, most of them based on a similarity function. In this paper, we propose two new methods for Gait Recognition based on silhouette and contour, using a classifier ensemble. Experimental results on a public standard database are shown and compared against others Gait Recognition methods.