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, by using the Generalised Symmetry Operator. This operator, rather than relying on the borders of a shape or on general appearance, locates features by their symmetrical properties. This approach is reinforced by the psychologists' view that gait is a symmetrical pattern of motion and by other works. We applied our new method to two different databases and derived gait signatures for silhouettes and optical flow. The results show that the symmetry properties of individuals' gait appear to be unique and can indeed be used for recognition. We have so far achieved promising recognition rates of over 95%. Performance analysis also suggests that symmetry enjoys practical advantages such as relative immunity to noise and missing frames, and with capability to handle occlusion.
3-540-42216-1
272-277
Hayfron-Acquah, James B.
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Nixon, Mark. S.
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Carter, John N.
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Bigun, Josef
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Smeraldi, Fabrizio
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June 2001
Hayfron-Acquah, James B.
bffee551-1655-495a-92fd-8c548dcef084
Nixon, Mark. S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Bigun, Josef
55add106-6a17-4c90-ac2e-8a8d7c1f0f6d
Smeraldi, Fabrizio
b48dd8cd-2820-4b13-a4ec-2516a9543a52
Hayfron-Acquah, James B., Nixon, Mark. S. and Carter, John N.
(2001)
Automatic Gait Recognition by Symmetry Analysis.
Bigun, Josef and Smeraldi, Fabrizio
(eds.)
Audio- and Video-Based Biometric Person Authentication.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
We describe a new method for automatic gait recognition based on analysing the symmetry of human motion, by using the Generalised Symmetry Operator. This operator, rather than relying on the borders of a shape or on general appearance, locates features by their symmetrical properties. This approach is reinforced by the psychologists' view that gait is a symmetrical pattern of motion and by other works. We applied our new method to two different databases and derived gait signatures for silhouettes and optical flow. The results show that the symmetry properties of individuals' gait appear to be unique and can indeed be used for recognition. We have so far achieved promising recognition rates of over 95%. Performance analysis also suggests that symmetry enjoys practical advantages such as relative immunity to noise and missing frames, and with capability to handle occlusion.
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hayfron-acquah-avbpa.pdf
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More information
Published date: June 2001
Additional Information:
Organisation: IAPR, SSAB,Halmstad University Address: Springer-Verlag Berlin, Heidelberg
Venue - Dates:
Audio- and Video-Based Biometric Person Authentication, 2001-06-01
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 255984
URI: http://eprints.soton.ac.uk/id/eprint/255984
ISBN: 3-540-42216-1
PURE UUID: a438f710-3c17-440f-b4ff-0781d1b945e1
Catalogue record
Date deposited: 18 Nov 2003
Last modified: 15 Mar 2024 02:34
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Contributors
Author:
James B. Hayfron-Acquah
Author:
John N. Carter
Editor:
Josef Bigun
Editor:
Fabrizio Smeraldi
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