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dc.titleFusion of chaotic measure into a new hybrid face-gait system for human recognition
dc.contributor.authorLee, T.K.M.
dc.contributor.authorRanganath, S.
dc.contributor.authorSanei, S.
dc.identifier.citationLee, T.K.M.,Ranganath, S.,Sanei, S. (2006). Fusion of chaotic measure into a new hybrid face-gait system for human recognition. Proceedings - International Conference on Pattern Recognition 4 : 541-544. ScholarBank@NUS Repository. <a href="" target="_blank"></a>
dc.description.abstractIn this paper we describe a method to recognize people using face and gait features in a novel yet natural way, using a single camera. We show that frontal-normal motion analysis yields more dynamic information as compared to fronto-parallel motion and allows us to analyse gait in a new way, using nonlinear dynamics of time series normally used in chaos theory. A set of point light sources attached to various points of a walking person allows the walker to be identified. Phase-space analysis of trajectories of these Moving Light Displays (MLDs) provides sufficient information for identification of people by their gait. Using chaotic measures to identify humans by their gait is a significant precedent. To demonstrate the usefulness of this result, we perform Face Recognition in a nonideal environment and show that by augmenting with gait data, we get better recognition rates, providing a more robust identification scheme.
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleProceedings - International Conference on Pattern Recognition
Appears in Collections:Staff Publications

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