Adaptive Fusion of Gait and Face for Human Identification in Video

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Show simple item record Geng, Xin en_US Wang, Liang en_US Li, Ming en_US Wu, Qiang en_US Smith-Miles, Kate en_US
dc.contributor.editor Stockman G. and et al. en_US 2010-05-28T09:59:50Z 2010-05-28T09:59:50Z 2008 en_US
dc.identifier 2008000790 en_US
dc.identifier.citation Geng Xin et al. 2008, 'Adaptive Fusion of Gait and Face for Human Identification in Video', IEEE, USA, pp. 1-6. en_US
dc.identifier.issn 1550-5790 en_US
dc.identifier.other E1 en_US
dc.description.abstract Most work on multi-biometric fusion is based on static fusion rules which cannot respond to the changes of the environment and the individual users. This paper proposes adaptive multi-biometric fusion, which dynamically adjusts the fusion rules to suit the real-time external conditions. As a typical example, the adaptive fusion of gait and face in video is studied. Two factors that may affect the relationship between gait and face in the fusion are considered, i.e., the view angle and the subject-to-camera distance. Together they determine the way gait and face are fused at an arbitrary time. Experimental results show that the adaptive fusion performs significantly better than not only single biometric traits, but also those widely adopted static fusion rules including SUM, PRODUCT, MIN, and MAX. en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon en_US
dc.title Adaptive Fusion of Gait and Face for Human Identification in Video en_US
dc.parent IEEE Workshop on Applications of Computer Vision, 2008 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 6 en_US INEXT Research Strength Core en_US
dc.conference Verified OK en_US
dc.for 080104 en_US
dc.personcode 0000028484 en_US
dc.personcode 0000028483 en_US
dc.personcode 0000035912 en_US
dc.personcode 000748 en_US
dc.personcode 0000035916 en_US
dc.percentage 40 en_US Computer Vision en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IEEE Workshop on Applications of Computer Vision en_US 20080107 en_US
dc.location.activity Copper Mountain, CO, USA en_US
dc.description.keywords en_US

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