The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

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.

Text
hayfron_prl.pdf - Accepted Manuscript
Download (246kB)
Text
hayfronprl.pdf - Other
Download (245kB)

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
Learn more about Southampton Wireless Group research

Identifiers

Local EPrints ID: 257976
URI: http://eprints.soton.ac.uk/id/eprint/257976
DOI: doi:10.1016/S0167-8655(03)00086-2
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: 07 Oct 2020 02:33

Export record

Altmetrics

Contributors

Author: James Hayfron-Acquah
Author: Mark S. Nixon ORCID iD
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

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

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.

×