Báo cáo hóa học: " Research Article Human Gait Recognition Based on Multiview Gait Sequences"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Human Gait Recognition Based on Multiview Gait Sequences | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 629102 8 pages doi 2008 629102 Research Article Human Gait Recognition Based on Multiview Gait Sequences Xiaxi Huang and Nikolaos V. Boulgouris Department of Electronic Engineering Division of Engineering King s College London WC2R2LS UK Correspondence should be addressed to Nikolaos V. Boulgouris Received 6 June 2007 Revised 10 October 2007 Accepted 23 January 2008 Recommended by Juwei Lu 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. 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. 1. INTRODUCTION Gait recognition 1 aims at the identification of individuals based on their walking style. Recognition based on human gait has several advantages related to the unobtrusiveness and the ease with which gait information can be captured. Unlike other biometrics gait can be captured from a distant camera without drawing the attention of the observed subject. One

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