Gait components and their application to gender recognition

Li, X; Maybank, SJ; Yan, S; Tao, D; Xu, D

Gait components and their application to gender recognition

Li, X Maybank, SJ Yan, S Tao, D

Xu, D

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 2008, 38 (2), pp. 145 - 155
Issue Date:: 2008-03-01

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Field	Value	Language
dc.contributor.author	Li, X	en_US
dc.contributor.author	Maybank, SJ	en_US
dc.contributor.author	Yan, S	en_US
dc.contributor.author	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.author	Xu, D https://orcid.org/0000-0003-2775-9730	en_US
dc.date.issued	2008-03-01	en_US
dc.identifier.citation	IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 2008, 38 (2), pp. 145 - 155	en_US
dc.identifier.issn	1094-6977	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15201
dc.description.abstract	Human gait is a promising biometrics resource. In this paper, the information about gait is obtained from the motions of the different parts of the silhouette. The human silhouette is segmented into seven components, namely head, arm, trunk, thigh, front-leg, back-leg, and feet. The leg silhouettes for the front-leg and the back-leg are considered separately because, during walking, the left leg and the right leg are in front or at the back by turns. Each of the seven components and a number of combinations of the components are then studied with regard to two useful applications: human identification (ID) recognition and gender recognition. More than 500 different experiments on human ID and gender recognition are carried out under a wide range of circumstances. The effectiveness of the seven human gait components for ID and gender recognition is analyzed. © 2008 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews	en_US
dc.relation.isbasedon	10.1109/TSMCC.2007.913886	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Gait components and their application to gender recognition	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	38	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	17 Psychology and Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	38	en_US

Abstract:

Human gait is a promising biometrics resource. In this paper, the information about gait is obtained from the motions of the different parts of the silhouette. The human silhouette is segmented into seven components, namely head, arm, trunk, thigh, front-leg, back-leg, and feet. The leg silhouettes for the front-leg and the back-leg are considered separately because, during walking, the left leg and the right leg are in front or at the back by turns. Each of the seven components and a number of combinations of the components are then studied with regard to two useful applications: human identification (ID) recognition and gender recognition. More than 500 different experiments on human ID and gender recognition are carried out under a wide range of circumstances. The effectiveness of the seven human gait components for ID and gender recognition is analyzed. © 2008 IEEE.

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http://hdl.handle.net/10453/15201