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Title: Human gait recognition based on multiview gait sequences
Authors: Huang, X
Boulgouris, NV
Keywords: Gait recognition;Multiple views;Human gait;Biometrics
Issue Date: 2008
Publisher: Hindawi Publishing Corporation
Citation: EURASIP Journal on Advances in Signal Processing, 2008, Article 629102, 2008
Abstract: Most of the existing gait recognition methods rely on a single view, usually the side view, of the walking person. This paper investigates the case in which several views are available for gait recognition. It is shown that each view has unequal discrimination power and, therefore, should have unequal contribution in the recognition process. In order to exploit the availability of multiple views, several methods for the combination of the results that are obtained from the individual views are tested and evaluated. A novel approach for the combination of the results from several views is also proposed based on the relative importance of each view. The proposed approach generates superior results, compared to those obtained by using individual views or by using multiple views that are combined using other combination methods.
Description: Copyright © 2008 X. Huang and N. V. Boulgouris. 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.
ISSN: 1687-6172
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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