Gait components and their application to gender recognition

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dc.contributor.author Li, Xuelong en_US
dc.contributor.author Maybank, Stephen en_US
dc.contributor.author Yan, Shuicheng en_US
dc.contributor.author Tao, Dacheng en_US
dc.contributor.author Xu, Dong en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T10:10:31Z
dc.date.available 2012-02-02T10:10:31Z
dc.date.issued 2008 en_US
dc.identifier 2011000289 en_US
dc.identifier.citation Li Xuelong et al. 2008, 'Gait components and their application to gender recognition', IEEE-Inst Electrical Electronics Engineers Inc, vol. 38, no. 2, pp. 145-155. en_US
dc.identifier.issn 1094-6977 en_US
dc.identifier.other C1UNSUBMIT 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, fron en_US
dc.language en_US
dc.publisher IEEE-Inst Electrical Electronics Engineers Inc en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/TSMCC.2007.913886 en_US
dc.title Gait components and their application to gender recognition en_US
dc.parent IEEE Transactions On Systems Man And Cybernetics Part C-Applications And Reviews en_US
dc.journal.volume 38 en_US
dc.journal.number 2 en_US
dc.publocation Piscataway en_US
dc.identifier.startpage 145 en_US
dc.identifier.endpage 155 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 0000066518 en_US
dc.personcode 0000064303 en_US
dc.personcode 111502 en_US
dc.personcode 0000066521 en_US
dc.personcode 115695 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords biometrics; gender recognition; human gait recognition; visual surveillance en_US


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