Gait components and their application to gender recognition

10.1109/TSMCC.2007.913886

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Bibliographic Details
Main Authors:	Li, X., Maybank, S.J., Yan, S., Tao, D., Xu, D.
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Review
Published:	2014
Subjects:	Biometrics Gender recognition Human gait recognition Visual surveillance
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/68257
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Institution:	National University of Singapore

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Summary:	10.1109/TSMCC.2007.913886

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