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《Journal of Wuhan University of Technology》 2008-01
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Gait Recognition Based on Fourier Descriptors and Artificial Neural Network

CHENG Qiong,ZHUANG Liu-Jie,Fu Bo (School of Electrical & Electronic Engineering,Hubei University of Technology,Wuhan 430068,China)  
This paper proposed a gait recognition method based on Fourier Descriptors(FDs) and Artificial Neural Network.For each image sequence,background subtraction algorithm was firstly used to segment the silhouettes of moving object from the background.Then the body contours were processed by Discrete Fourier Transform(DFT) and the gait feathers are expressed by FDs.Artificial Neural Network was finally applied to analysis and recognition automatically.The experimental results demonstrated that the approach had a good recognition performance.
【Fund】: 湖北省自然科学基金项目(2006ABA027);; 国家自然科学基金项目(NO.60702079)
【CateGory Index】: TP183;TP391.4
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【References】
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1 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);Gait Representation and Recognition Using Spatio-Temporal Energy Image and Wavelet Transformation[J];Journal of University of Electronic Science and Technology of China;2009-03
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【Citations】
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【Co-citations】
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【Co-references】
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