Gait recognition based on dynamic region analysis

被引：83
|
作者：
Yang, Xiaochao [1 ]
Zhou, Yue [1 ]
Zhang, Tianhao [1 ,2 ]
Shu, Guang [1 ]
Yang, Jie [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China
[2] Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China
来源：
SIGNAL PROCESSING | 2008年 / 88卷 / 09期
基金：
中国国家自然科学基金;
关键词：
gait recognition; dynamic region analysis; enhanced gait energy image; Gabor-based discriminative common; vectors analysis;
D O I：
10.1016/j.sigpro.2008.03.006
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Gait Energy image (GEI) has been proved to be an effective identity signature in gait recognition. But previous approaches only treat this 2D image representation as a holistic feature and neglect the intrinsic dynamic characteristics of gait patterns. In this paper, we use variation analysis to obtain the dynamic region in GEI which reflects the walking manner of an individual. Based on this analysis, a dynamics weight mask is constructed to enhance the dynamic region and suppress the noises on the unimportant regions. The obtained gait representation called enhanced GEI (EGEI) is then represented in low dimensional subspace by Gabor-based discriminative common vectors analysis. We test the proposed approach on the USF HumanlD Gait Database. Experimental results prove its effectiveness in terms of recognition rate. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码：2350 / 2356
页数：7
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