Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPR.2006.591
Title: Fusion of chaotic measure into a new hybrid face-gait system for human recognition
Authors: Lee, T.K.M.
Ranganath, S. 
Sanei, S.
Issue Date: 2006
Source: Lee, 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. https://doi.org/10.1109/ICPR.2006.591
Abstract: In 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.
Source Title: Proceedings - International Conference on Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/70402
ISSN: 10514651
DOI: 10.1109/ICPR.2006.591
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