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Automatic gait recognition by symmetry analysis

Automatic gait recognition by symmetry analysis
Automatic gait recognition by symmetry analysis
We describe a new method for automatic gait recognition based on analysing the symmetry of human motion using the Generalised Symmetry Operator. This approach is reinforced by the psychologists' view that gait is a symmetrical pattern of motion and results show that gait can indeed be recognised by symmetry analysis.
biometrics, symmetry operator, gait recognition
2175-2183
Hayfron-Acquah, James
39f52851-87b0-4842-a047-047116422ed9
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Hayfron-Acquah, James
39f52851-87b0-4842-a047-047116422ed9
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da

Hayfron-Acquah, James, Nixon, Mark S. and Carter, John N. (2003) Automatic gait recognition by symmetry analysis. Pattern Recognition Letters, 24 (13), 2175-2183. (doi:10.1016/S0167-8655(03)00086-2).

Record type: Article

Abstract

We describe a new method for automatic gait recognition based on analysing the symmetry of human motion using the Generalised Symmetry Operator. This approach is reinforced by the psychologists' view that gait is a symmetrical pattern of motion and results show that gait can indeed be recognised by symmetry analysis.

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More information

e-pub ahead of print date: 21 May 2003
Published date: September 2003
Keywords: biometrics, symmetry operator, gait recognition
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 257976
URI: http://eprints.soton.ac.uk/id/eprint/257976
PURE UUID: d39f5334-e0b5-4047-835c-51fb4e556e7c
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 05 Mar 2004
Last modified: 03 Dec 2019 02:07

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