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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. Gait's advantages are that it is non-invasive, like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modelling and motion tracking. These lend support to the view that gait has clear potential as a biometric. Essentially, we require to use computer vision techniques to derive a gait signature from a sequence of images. The majority of current approaches analyse an image sequence to derive motion characteristics which are then used for recognition; only one approach is feature based. Early results by these studies confirm that there is a rich potential in gait for recognition.
0-7923-8345-1
231-250
Kluwer Academic Publishers
Nixon, M. S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, J. N.
e05be2f9-991d-4476-bb50-ae91606389da
Cunado, D.
e64fcc22-1c45-459f-a5f0-55656e88514f
Huang, P. S.
cb7f0d7c-de59-414b-a594-4d42191bf507
Stevenage, S. V.
8110c01e-b1f1-45f8-aafc-e758d0d06203
Jain, A. K.
Bolle, R.
Pankanti, S.
Nixon, M. S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, J. N.
e05be2f9-991d-4476-bb50-ae91606389da
Cunado, D.
e64fcc22-1c45-459f-a5f0-55656e88514f
Huang, P. S.
cb7f0d7c-de59-414b-a594-4d42191bf507
Stevenage, S. V.
8110c01e-b1f1-45f8-aafc-e758d0d06203
Jain, A. K.
Bolle, R.
Pankanti, S.

Nixon, M. S., Carter, J. N., Cunado, D., Huang, P. S. and Stevenage, S. V., (1999) Automatic Gait Recognition Jain, A. K., Bolle, R. and Pankanti, S. (eds.) In Biometrics: Personal Identification in Networked Society. Kluwer Academic Publishers., pp. 231-250.

Record type: Conference or Workshop Item (Paper)

Abstract

Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Gait's advantages are that it is non-invasive, like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modelling and motion tracking. These lend support to the view that gait has clear potential as a biometric. Essentially, we require to use computer vision techniques to derive a gait signature from a sequence of images. The majority of current approaches analyse an image sequence to derive motion characteristics which are then used for recognition; only one approach is feature based. Early results by these studies confirm that there is a rich potential in gait for recognition.

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More information

Published date: 1999
Additional Information: Chapter: 11 Address: Norwell, Massachusetts
Venue - Dates: Biometrics: Personal Identification in Networked Society, 1999-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250633
URI: http://eprints.soton.ac.uk/id/eprint/250633
ISBN: 0-7923-8345-1
PURE UUID: 67f538a1-1154-4be5-be20-59cc4e0d7256

Catalogue record

Date deposited: 12 Apr 2000
Last modified: 18 Jul 2017 10:40

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Contributors

Author: M. S. Nixon
Author: J. N. Carter
Author: D. Cunado
Author: P. S. Huang
Author: S. V. Stevenage
Editor: A. K. Jain
Editor: R. Bolle
Editor: S. Pankanti

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