Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20202
Title: Human gait recognition by the fusion of motion and static spatio-temporal templates
Authors: Lam, THW
Lee, RST
Zhang, D 
Keywords: Biometrics
Gait recognition
Motion silhouette contour templates
Static silhouette templates
Issue Date: 2007
Publisher: Elsevier
Source: Pattern recognition, 2007, v. 40, no. 9, p. 2563-2573 How to cite?
Journal: Pattern recognition 
Abstract: In this paper, we propose a gait recognition algorithm that fuses motion and static spatio-temporal templates of sequences of silhouette images, the motion silhouette contour templates (MSCTs) and static silhouette templates (SSTs). MSCTs and SSTs capture the motion and static characteristic of gait. These templates would be computed from the silhouette sequence directly. The performance of the proposed algorithm is evaluated experimentally using the SOTON data set and the USF data set. We compared our proposed algorithm with other research works on these two data sets. Experimental results show that the proposed templates are efficient for human identification in indoor and outdoor environments. The proposed algorithm has a recognition rate of around 85% on the SOTON data set. The recognition rate is around 80% in intrinsic difference group (probes A-C) of USF data set.
URI: http://hdl.handle.net/10397/20202
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2006.11.014
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