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Automatic Gait Recognition via Fourier Descriptors of Deformable Objects

Automatic Gait Recognition via Fourier Descriptors of Deformable Objects
Automatic Gait Recognition via Fourier Descriptors of Deformable Objects
We describe a new method for Automatic Gait Recognition based around the use of Fourier descriptors that model the periodic deformation of human gait. Fourier descriptors have been used successfully in the past to model the boundary of static or moving, rigid-bodied objects, but many objects actually deform in some way as they move. Here we use Fourier descriptors to model not only the object’s boundary, but also the spatio-temporal deformations under which the object’s boundary is subjected. We applied this new method to the Large Gait Database, compiled at the University of Southampton, and found that the Fourier descriptors obtained for each person appear to be unique and can be used for recognition. Successful recognition rates of over 85% were obtained from the Large Gait Database using only a small set of descriptors.
Gait, Object Description, Fourier Descriptors, Moving Objects
566-573
Mowbray, Stuart D.
a3bed3eb-89fd-404e-bc9d-92072f407fa8
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Kittler, Josef
3f917278-ebcb-445a-983a-dbf9949ac968
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Mowbray, Stuart D.
a3bed3eb-89fd-404e-bc9d-92072f407fa8
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Kittler, Josef
3f917278-ebcb-445a-983a-dbf9949ac968
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Mowbray, Stuart D. and Nixon, Mark S. (2003) Automatic Gait Recognition via Fourier Descriptors of Deformable Objects. Kittler, Josef and Nixon, Mark S. (eds.) Audio Visual Biometric Person Authentication. pp. 566-573 .

Record type: Conference or Workshop Item (Paper)

Abstract

We describe a new method for Automatic Gait Recognition based around the use of Fourier descriptors that model the periodic deformation of human gait. Fourier descriptors have been used successfully in the past to model the boundary of static or moving, rigid-bodied objects, but many objects actually deform in some way as they move. Here we use Fourier descriptors to model not only the object’s boundary, but also the spatio-temporal deformations under which the object’s boundary is subjected. We applied this new method to the Large Gait Database, compiled at the University of Southampton, and found that the Fourier descriptors obtained for each person appear to be unique and can be used for recognition. Successful recognition rates of over 85% were obtained from the Large Gait Database using only a small set of descriptors.

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More information

Published date: 2003
Additional Information: Event Dates: 2003
Venue - Dates: Audio Visual Biometric Person Authentication, 2003-01-01
Keywords: Gait, Object Description, Fourier Descriptors, Moving Objects
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 258449
URI: http://eprints.soton.ac.uk/id/eprint/258449
PURE UUID: 83c5b2fa-1466-4770-a25e-6c4a76dd89d8
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 08 Dec 2003
Last modified: 05 Nov 2019 02:09

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