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| Review on Pedestrian Gait Feature Expression and Recognition |
| BEN Xian-Ye1, XU Sen2, WANG Ke-Jun3 |
1.School of Information Science and Engineering,Shandong University,Jinan 250100
2.School of Information Engineering,Yancheng Institute of Technology,Yancheng 224000
3.College of Automation,Harbin Engineering University,Harbin 150001 |
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Abstract Various methods for gait recognition are summarized by unique metods from anthropometry, spatial temporal, kinematics, kinetics, and video stream data forms. And video stream data are analyzed in detail. The expressions, meanings and characteristics including static, dynamic, and time-varying information among different energy image species methods are compared. Moreover, the fusion of gait features, gait and other biometric and extended gait recognition are reviewed. The assessment methods for gait recognition research are also presented. In addition, the future research directions of gait recognition are addressed.
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Received: 13 October 2010
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2012, Vol. 25 
