Front-view Gait Recognition
Front-view Gait Recognition
We present a new method for front-view gait biometrics which uses a single non-calibrated camera and extracts unique signatures from descriptors of a silhouette’s deformation. The proposed approach is particularly suitable for identification by gait in the real world, where the advantages of completely unobtrusiveness, remoteness and covertness of the biometric system preclude the availability of camera information and where the CCTV images usually present subjects from an upper front-view. Tests on three different gait databases with subjects walking towards the camera have been performed. The obtained results, with mean CCR of 96:3%, show that gait recognition of individuals observed the front can be achieved without any knowledge of camera parameters. Moreover, the method has been applied to three different walking directions and the results have been compared with the algorithms found in literature. The performance of the proposed system is particularly encouraging for its appliance in surveillance scenarios.
Goffredo, Michela
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Carter, John N.
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Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
October 2008
Goffredo, Michela
21a346d2-8ce6-46b7-883f-89a2c584afc7
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Goffredo, Michela, Carter, John N. and Nixon, Mark S.
(2008)
Front-view Gait Recognition.
IEEE Second International Conference on Biometrics: Theory, Applications and Systems (BTAS 08), Washington D.C., United States.
29 Sep - 01 Oct 2008.
Record type:
Conference or Workshop Item
(Other)
Abstract
We present a new method for front-view gait biometrics which uses a single non-calibrated camera and extracts unique signatures from descriptors of a silhouette’s deformation. The proposed approach is particularly suitable for identification by gait in the real world, where the advantages of completely unobtrusiveness, remoteness and covertness of the biometric system preclude the availability of camera information and where the CCTV images usually present subjects from an upper front-view. Tests on three different gait databases with subjects walking towards the camera have been performed. The obtained results, with mean CCR of 96:3%, show that gait recognition of individuals observed the front can be achieved without any knowledge of camera parameters. Moreover, the method has been applied to three different walking directions and the results have been compared with the algorithms found in literature. The performance of the proposed system is particularly encouraging for its appliance in surveillance scenarios.
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Goffredo_-_Front-view_Gait_Recognition.pdf
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Published date: October 2008
Additional Information:
Event Dates: Sept. 29-Oct.1, 2008
Venue - Dates:
IEEE Second International Conference on Biometrics: Theory, Applications and Systems (BTAS 08), Washington D.C., United States, 2008-09-29 - 2008-10-01
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 266760
URI: http://eprints.soton.ac.uk/id/eprint/266760
PURE UUID: afc7634a-cebb-4d28-a8b4-74e75b80779a
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Date deposited: 06 Oct 2008 15:43
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Michela Goffredo
Author:
John N. Carter
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