The University of Southampton
University of Southampton Institutional Repository

On gait as a biometric: progress and prospects

On gait as a biometric: progress and prospects
On gait as a biometric: progress and prospects
There is increasing interest in automatic recognition by gait given its unique capability to recognize people at a distance when other biometrics are obscured. Application domains are those of any noninvasive biometric, but with particular advantage in surveillance scenarios. Its recognition capability is supported by studies in other domains such as medicine (biomechanics), mathematics and psychology which also suggest that gait is unique. Further, examples of recognition by gait can be found in literature, with early reference by Shakespeare concerning recognition by the way people walk. Many of the current approaches confirm the early results that suggested gait could be used for identification, and now on much larger databases. This has been especially influenced by DARPA’s Human ID at a Distance research program with its wide scenario of data and approaches. Gait has benefited from the developments in other biometrics and has led to new insight particularly in view of covariates. Equally, gait-recognition approaches concern extraction and description of moving articulated shapes and this has wider implications than just in biometrics.
Gait Biometrics
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N
e05be2f9-991d-4476-bb50-ae91606389da

Nixon, Mark S and Carter, John N (2004) On gait as a biometric: progress and prospects. Proc. EUSIPCO 2004, Vienna.

Record type: Conference or Workshop Item (Other)

Abstract

There is increasing interest in automatic recognition by gait given its unique capability to recognize people at a distance when other biometrics are obscured. Application domains are those of any noninvasive biometric, but with particular advantage in surveillance scenarios. Its recognition capability is supported by studies in other domains such as medicine (biomechanics), mathematics and psychology which also suggest that gait is unique. Further, examples of recognition by gait can be found in literature, with early reference by Shakespeare concerning recognition by the way people walk. Many of the current approaches confirm the early results that suggested gait could be used for identification, and now on much larger databases. This has been especially influenced by DARPA’s Human ID at a Distance research program with its wide scenario of data and approaches. Gait has benefited from the developments in other biometrics and has led to new insight particularly in view of covariates. Equally, gait-recognition approaches concern extraction and description of moving articulated shapes and this has wider implications than just in biometrics.

Text
nixon_eusipco04.pdf - Other
Download (337kB)

More information

Published date: 2004
Additional Information: Event Dates: Sept
Venue - Dates: Proc. EUSIPCO 2004, Vienna, 2004-09-01
Keywords: Gait Biometrics
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 260101
URI: http://eprints.soton.ac.uk/id/eprint/260101
PURE UUID: ecc9bae1-0fe1-44a1-94d0-9f8e021341ab
ORCID for Mark S Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 12 Nov 2004
Last modified: 15 Mar 2024 02:35

Export record

Contributors

Author: Mark S Nixon ORCID iD
Author: John N Carter

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.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.

×