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Self-calibrating view-invariant gait biometrics

Record type: Article

We present a new method for view-point independent gait biometrics. The system relies on a single camera, does not require camera calibration and works with a wide range of camera-views. This is achieved by a formulation where the gait is self-calibrating. These properties make the proposed method particularly suitable for identification by gait, where the advantages of completely unobtrusiveness, remoteness and covertness of the biometric system preclude the availability of camera information and specific walking directions. The approach has been assessed for feature extraction and recognition capabilities on the SOTON Gait Database and then evaluated on a multi-view database to establish recognition capability with respect to view invariance. Moreover, tests on the multi-view CASIA-B database, composed of more than 2270 video sequences with 65 different subjects walking freely along different walking directions have been performed. The obtained results show that human identification by gait can be achieved without any knowledge of internal or external camera parameters with a mean CCR of 73.6% across all views using purely dynamic gait features. The performance of the proposed method is particularly encouraging for application in surveillance scenarios.

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Citation

Goffredo, Michela, Bouchrika, Imed, Carter, John and Nixon, Mark (2010) Self-calibrating view-invariant gait biometrics IEEE Transactions on Systems, Man, and Cybernetics Part B, 40, (4), 997 -1008. (doi:10.1109/TSMCB.2009.2031091). (PMID:19884085).

More information

e-pub ahead of print date: 30 October 2009
Published date: August 2010
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 268180
URI: http://eprints.soton.ac.uk/id/eprint/268180
ISSN: 1083-4419
PURE UUID: b1c614bd-224b-4933-a6e0-b563f18bf715

Catalogue record

Date deposited: 06 Nov 2009 10:04
Last modified: 18 Jul 2017 06:56

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Contributors

Author: Michela Goffredo
Author: Imed Bouchrika
Author: John Carter
Author: Mark Nixon

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