The University of Southampton
University of Southampton Institutional Repository

Self-calibrating view-invariant gait biometrics

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 (Cybernetics), 40, (4), 997 -1008. (doi:10.1109/TSMCB.2009.2031091). (PMID:19884085).

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.

Text final_copy.pdf - Other
Download (1MB)
Text - Version of Record
Restricted to Repository staff only
Download (1MB)

More information

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


Local EPrints ID: 268180
ISSN: 1083-4419
PURE UUID: b1c614bd-224b-4933-a6e0-b563f18bf715

Catalogue record

Date deposited: 06 Nov 2009 10:04
Last modified: 12 Sep 2017 16:33

Export record



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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.