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《Journal of University of Electronic Science and Technology of China》 2009-03
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Gait Representation and Recognition Using Spatio-Temporal Energy Image and Wavelet Transformation

WEI Su-yuan1,2,MA Tian-jun1,NING Chao2,and GAO You-xing1 (1.Computer Peripheral Institute,Xidian University Xi'an 710071;2.Department of Automation Command,Second Artillery Engineering College Xi'an 710025)  
Aiming at the dependency of the gait recognition algorithms on the time alignment and the gait cycle extraction,a novel gait representation is proposed.The spatio-temporal energy(STE) image and the wavelet transformation(WT) are used to deal with the problem of time-dependence and time-invariant covariation.The extracted features cover the physiological characteristics and the behavior characteristics.Recognition results demonstrate that the method has good performance,as well as the merit of low space and time requirement.
【Fund】: 陕西省自然科学基金(2006F48)
【CateGory Index】: TP391.41
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Chinese Journal Full-text Database 1 Hits
1 CHENG Qiong,ZHUANG Liu-Jie,Fu Bo (School of Electrical & Electronic Engineering,Hubei University of Technology,Wuhan 430068,China);Gait Recognition Based on Fourier Descriptors and Artificial Neural Network[J];Journal of Wuhan University of Technology;2008-01
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Chinese Journal Full-text Database 3 Hits
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