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
September 2003
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), .
(doi:10.1016/S0167-8655(03)00086-2).
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.
Text
hayfron_prl.pdf
- Accepted Manuscript
Text
hayfronprl.pdf
- Other
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
Catalogue record
Date deposited: 05 Mar 2004
Last modified: 18 Feb 2021 16:34
Export record
Altmetrics
Contributors
Author:
James Hayfron-Acquah
Author:
John N. Carter
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