Gait Recognition by Dynamic Cues
Gait Recognition by Dynamic Cues
Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of people recognition using the kinematic-related gait features. We present a new method for gait recognition using dynamic features including the angular measurements of the lower limbs as well as the spatial displacement of the trunk. Gait signatures are derived using Feature selection algorithm which is based on a validation-criterion. We show that gait angular measurements derived from the joint motions mainly the ankle, knee and hip angles, possess most of the discriminatory potency for gait recognition with an achieved correct classification rate of 95.7%
gait recognition, computer vision, image processing, biometrics, gait
Bouchrika, Imed
240fa05b-aed2-400a-a683-b4c0d20f2f68
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
December 2008
Bouchrika, Imed
240fa05b-aed2-400a-a683-b4c0d20f2f68
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Bouchrika, Imed and Nixon, Mark
(2008)
Gait Recognition by Dynamic Cues.
19th IEEE International Conference on Pattern Recognition, Tampa, FLorida, United States.
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Conference or Workshop Item
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Abstract
Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of people recognition using the kinematic-related gait features. We present a new method for gait recognition using dynamic features including the angular measurements of the lower limbs as well as the spatial displacement of the trunk. Gait signatures are derived using Feature selection algorithm which is based on a validation-criterion. We show that gait angular measurements derived from the joint motions mainly the ankle, knee and hip angles, possess most of the discriminatory potency for gait recognition with an achieved correct classification rate of 95.7%
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Published date: December 2008
Additional Information:
Event Dates: 2008
Venue - Dates:
19th IEEE International Conference on Pattern Recognition, Tampa, FLorida, United States, 2008-01-01
Keywords:
gait recognition, computer vision, image processing, biometrics, gait
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 266141
URI: http://eprints.soton.ac.uk/id/eprint/266141
PURE UUID: 9b56caa3-8e09-42b7-ab8d-c47f0007c246
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Date deposited: 16 Jul 2008 14:10
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Imed Bouchrika
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