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Chaotic characterisation of frontal normal gait for human identification

Lee, TKM, Belkhatir, M, Lee, PA, Loe, KF and Sanei, S (2007) Chaotic characterisation of frontal normal gait for human identification European Signal Processing Conference. pp. 743-747.

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Abstract

Human recognition using gait features in predominantly frontal-normal motion has been described in this paper. Compared to current methods for gait identification, this allows convenient combination of other biometrics using a single camera. We analyse how this motion yields more dynamic information, allowing us to characterise gait in a new way, using nonlinear dynamics of time series normally used in chaos theory. Using chaotic measures to identify humans by their gait is a significant precedent. Phase-space analysis of trajectories of a set of Moving Light Displays (MLDs) provides sufficient information for identification of people by their gait. A number of experiments has been set up to demonstrate the viability of this approach which contribute to the relatively unexplored area of fusion of face with gait. This provides a more robust identification scheme. © 2007 EURASIP.

Item Type: Article
Authors :
AuthorsEmailORCID
Lee, TKMUNSPECIFIEDUNSPECIFIED
Belkhatir, MUNSPECIFIEDUNSPECIFIED
Lee, PAUNSPECIFIEDUNSPECIFIED
Loe, KFUNSPECIFIEDUNSPECIFIED
Sanei, SUNSPECIFIEDUNSPECIFIED
Date : 2007
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:13
Last Modified : 28 Mar 2017 14:13
URI: http://epubs.surrey.ac.uk/id/eprint/742633

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