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Automatic Gait Recognition

Automatic Gait Recognition
Automatic Gait Recognition
Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Its advantages are that it is non-invasive and that it is less likely to be obscured since it appears to be difficult to camouflage walk, especially in cases of serious crime. Gait has allied subjects which lend support to the view that gait has clear potential as a biometric. Essentially, we use computer vision to find people and to derive a gait signature from a sequence of images. The majority of current approaches derive motion characteristics, which are then used for recognition. Early results by these studies confirm that there is a rich potential in gait for recognition. Only continued development will confirm whether its performance can match those of other biometrics.
3/1-3/6
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nash, Jason M.
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Huang, Ping S.
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Cunado, David
757066a6-2d75-4213-8b7a-9df6a09943ab
Stevenage, Sarah V.
bd56bd4c-9155-4abd-aa50-ac69521c0f1e
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nash, Jason M.
b62a6aa9-6441-4c4c-9b0b-a907f55867bf
Huang, Ping S.
0bfc7393-787c-474b-aa7d-9137e88c8b8c
Cunado, David
757066a6-2d75-4213-8b7a-9df6a09943ab
Stevenage, Sarah V.
bd56bd4c-9155-4abd-aa50-ac69521c0f1e

Nixon, Mark S., Carter, John N., Nash, Jason M., Huang, Ping S., Cunado, David and Stevenage, Sarah V. (1999) Automatic Gait Recognition. IEE Colloquium "Motion Analysis and Tracking". 3/1-3/6 .

Record type: Conference or Workshop Item (Other)

Abstract

Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Its advantages are that it is non-invasive and that it is less likely to be obscured since it appears to be difficult to camouflage walk, especially in cases of serious crime. Gait has allied subjects which lend support to the view that gait has clear potential as a biometric. Essentially, we use computer vision to find people and to derive a gait signature from a sequence of images. The majority of current approaches derive motion characteristics, which are then used for recognition. Early results by these studies confirm that there is a rich potential in gait for recognition. Only continued development will confirm whether its performance can match those of other biometrics.

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More information

Published date: May 1999
Venue - Dates: IEE Colloquium "Motion Analysis and Tracking", 1999-05-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250641
URI: http://eprints.soton.ac.uk/id/eprint/250641
PURE UUID: f4a3e79e-4a06-42c9-ba7b-4bf133681cf3
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 09 Jan 2001
Last modified: 10 Dec 2019 01:59

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