Automatic recognition by gait: progress and prospects
Automatic recognition by gait: progress and prospects
Recognising people by their gait is a biometric of increasing interest. Recently, analysis has progressed from evaluation by few techniques on small databases with encouraging results to large databases and still with encouraging results. The potential of gait as a biometric was encouraged by the considerable amount of evidence available, especially in biomechanics and literature. This potential motivated the development of new databases, new technique and more rigorous evaluation procedures. We adumbrate some of the new techniques we have developed and their evaluation to gain insight into the potential for gait as a biometric. In particular, we consider implications for the future. Our work, as with others, continues to provide encouraging results for gait as a biometric, let alone as a human identifier, with a special regard for recognition at a distance.
gait, biometrics, database, symmetry, moments, area
323-331
Nixon, Mark S.
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Carter, John N.
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Grant, Michael G.
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Gordon, Layla G.
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Hayfron-Acquah, James B.
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2003
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
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Grant, Michael G.
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Gordon, Layla G.
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Hayfron-Acquah, James B.
bffee551-1655-495a-92fd-8c548dcef084
Nixon, Mark S., Carter, John N., Grant, Michael G., Gordon, Layla G. and Hayfron-Acquah, James B.
(2003)
Automatic recognition by gait: progress and prospects.
Sensor Review, 23 (4), .
Abstract
Recognising people by their gait is a biometric of increasing interest. Recently, analysis has progressed from evaluation by few techniques on small databases with encouraging results to large databases and still with encouraging results. The potential of gait as a biometric was encouraged by the considerable amount of evidence available, especially in biomechanics and literature. This potential motivated the development of new databases, new technique and more rigorous evaluation procedures. We adumbrate some of the new techniques we have developed and their evaluation to gain insight into the potential for gait as a biometric. In particular, we consider implications for the future. Our work, as with others, continues to provide encouraging results for gait as a biometric, let alone as a human identifier, with a special regard for recognition at a distance.
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sensor_review.pdf
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Published date: 2003
Keywords:
gait, biometrics, database, symmetry, moments, area
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 258441
URI: http://eprints.soton.ac.uk/id/eprint/258441
PURE UUID: 86c0681f-38ab-4b37-b938-149c420e7eb3
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Date deposited: 05 Nov 2003
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
John N. Carter
Author:
Michael G. Grant
Author:
Layla G. Gordon
Author:
James B. Hayfron-Acquah
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