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New Advances in Automatic Gait Recognition

New Advances in Automatic Gait Recognition
New Advances in Automatic Gait Recognition
Recognising people by their gait is an emergent biometric. Until recently there was evaluation by few techniques on relatively small databases though with encouraging results. The potential of gait as a biometric has further been encouraged by the considerable amount of evidence available, especially in medicine and literature. This evident potential motivated development of new databases, new technique and more rigorous evaluation procedures. We describe the new techniques we have developed and their evaluation on our database to gain insight into the potential for gait as a biometric. We also describe some of our new approaches aimed to aid generalization capability for deployment of gait recognition. We show on these new and much larger databases, how our novel techniques continue to provide encouraging results for gait as a biometric, let alone as a human identifier, with especial regard for recognition at a distance.
gait recognition, computer vision, biometrics
23-35
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
18170972-d781-438d-b358-81df942a262b
Shutler, Jamie
17aefd80-a74f-4bf6-9eee-66a5d5fc1df4
Grant, Mike
960e0dfc-7765-4360-9475-a07d134b77f4
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
18170972-d781-438d-b358-81df942a262b
Shutler, Jamie
17aefd80-a74f-4bf6-9eee-66a5d5fc1df4
Grant, Mike
960e0dfc-7765-4360-9475-a07d134b77f4

Nixon, Mark S., Carter, John N., Shutler, Jamie and Grant, Mike (2002) New Advances in Automatic Gait Recognition. Elsevier Information Security Technical Report, 7 (4), 23-35.

Record type: Article

Abstract

Recognising people by their gait is an emergent biometric. Until recently there was evaluation by few techniques on relatively small databases though with encouraging results. The potential of gait as a biometric has further been encouraged by the considerable amount of evidence available, especially in medicine and literature. This evident potential motivated development of new databases, new technique and more rigorous evaluation procedures. We describe the new techniques we have developed and their evaluation on our database to gain insight into the potential for gait as a biometric. We also describe some of our new approaches aimed to aid generalization capability for deployment of gait recognition. We show on these new and much larger databases, how our novel techniques continue to provide encouraging results for gait as a biometric, let alone as a human identifier, with especial regard for recognition at a distance.

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More information

Published date: 2002
Keywords: gait recognition, computer vision, biometrics
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 257904
URI: http://eprints.soton.ac.uk/id/eprint/257904
PURE UUID: 252859c4-610f-4d53-8bc3-657162f59219
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 20 Nov 2003
Last modified: 17 Dec 2019 02:04

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