[1]LYU Zhuowen,WANG Yibin,XING Xianglei,et al.A gait representation method based on weighted CCA for multi-information fusion[J].CAAI Transactions on Intelligent Systems,2019,14(3):449-454.[doi:10.11992/tis.201808012]
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A gait representation method based on weighted CCA for multi-information fusion

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 14 Number of periods: 2019 3 Page number: 449-454 Column: 学术论文—人工智能基础 Public date: 2019-05-05
Title:
A gait representation method based on weighted CCA for multi-information fusion
Author(s):
LYU Zhuowen1;  WANG Yibin1;  XING Xianglei2;  WANG Kejun2
1. School of Engineering, Sichuan Normal University, Chengdu 610068, China;
2. College of Automation, Harbin Engineering University, Harbin 150001, China
Keywords:
gait representation; gait flow image; time information; information coding; color space; class energy image; canonical correlation analysis; single channel
CLC:
TP391.41
DOI:
10.11992/tis.201808012
Abstract:
In this paper, we propose a new gait representation method to address the problem of incomplete gait representation in current gait recognition technologies. The proposed method is based on gait flow images in which step-width timing information is encoded into the color space to obtain a three-channel colored class energy image. Multi-channel information can be fused into a single channel by canonical correlation analysis, whereby redundant feature information is removed. This process enriches the gait features and enables better recognition. Experimental results show that the proposed method effectively characterizes the gait features and significantly improves the recognition rate.
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