[1]BEN Xianye,ZHANG Peng,PAN Tingting,et al.Performance analysis of matrix gait recognition under? linear interpolation framework[J].CAAI Transactions on Intelligent Systems,2013,8(5):415-425.[doi:10.3969/j.issn.1673-4785.201110007]
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Performance analysis of matrix gait recognition under? linear interpolation framework

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 8 Number of periods: 2013 5 Page number: 415-425 Column: 学术论文—机器感知与模式识别 Public date: 2013-10-25
Title:
Performance analysis of matrix gait recognition under? linear interpolation framework
Author(s):
BEN Xianye 1;  ZHANG Peng 1;  PAN Tingting 1;  WANG Kejun 2
1. School of Information Science and Engineering, Shandong University, Ji’nan 250100, China; 2. College of Automation, Harbin Engineering University, Harbin 150001, China
Keywords:
gait recognition;  matrix gait recognition;  linear interpolation framework;  gait period detection;  Zernike moment;  pseudoZernike moment
CLC:
TP391.41
DOI:
10.3969/j.issn.1673-4785.201110007
Abstract:
The existing gait period detection methods are not ideal and the performance of gait recognition is significantly influenced by walking speed. Several novel gait period detection methods based on moments are proposed in this paper. The Zernike moment requires preprocessing including the assurance that the image of the human body is proportioned normally and is centered properly; the pseudo-Zernike moment may directly describe the motion image, and it may avoid the need for such processing of making the image of the human body centered and sized normally, so as to directly detect gait periodicity. As the features of one frame are only decided by those of the prior and the rear frames in walking, a framework for a matrix gait recognition algorithm based on linear interpolation is proposed. Subsequently, the projection features, Hough transform feature, Trace transform feature and Fan-Beam mapping feature are applied to the CASIA(B) gait database to prove the validity of the gait recognition framework. This brings new methods and understanding for solving gait recognition problems. This matrix gait recognition feature based on linear interpolation is essentially an energy form with different weighted values.
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