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 | C1 | 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;0000066691;0000064303;111502;0000066521 | en_US |
| dc.percentage | 000100 | 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 |
| dc.staffid | University of London;Nanyang Technological University | en_US |
