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Proceedings of 2010 Cross-Strait Conference on Information Science and Technology (CSCIST 2010 E-BOOK)

Qinhuangdao,China,7.9-7.13，2010

ISBN: 978-1-935068-15-0 Scientific Research Publishing, USA

E-Book 840pp Pub. Date: July 2010

Category: Computer Science & Communications

Price: $120

Title: Front-view Gait Recognition
Source: Proceedings of 2010 Cross-Strait Conference on Information Science and Technology (CSCIST 2010 E-BOOK) (pp 80-84)
Author(s): Hai-yan Gao, Beijing Jiaotong University, Institute of Information Science, Beijing
Qiu-qi Ruan, Beijing Jiaotong University, Institute of Information Science, Beijing
Abstract: Existing gait recognition methods are almost based on side view sequences. Recently, walking direction has becoming one of the challenge problems. Thus in the paper a new method for front-view gait recognition is proposed. Firstly, a method of normalized RGB color space is used for shadow removal and binary silhouettes are extracted by background subtraction. Then a special method for cyclic gait analysis is performed to extract key frames, to whose body contours an improved sampling method is applied. Next, the sample points are processed by Fourier descriptors with data dimension being reduced and the gait exemplar vectors can be constructed. Finally, the recognition is achieved separately by NN (the nearest neighbor classifier) and ENN(the nearest neighbor classifier with respect to exemplar). Experimental results show that the proposed approach is not only computing efficient, but also has an encouraging recognition performance on CASIA database.
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