Exploratory Factor Analysis of Gait Recognition
Exploratory Factor Analysis of Gait Recognition
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 the effects of covariates on the recognition process. We show how these factors can separately affect the walking pattern. Further we assess the contribution and discriminatory significance of the gait dynamics used for recognition. Based on a covariate-based probe dataset of 440 samples, a high recognition rate of 73.4% is achieved using the KNN classifier. This is to confirm that people identification using dynamic gait features is still perceivable with better recognition rate even under the different covariate factors.
gait recognition, image processing, computer vision, gait dynamics, human motion analysis
Bouchrika, Imed
240fa05b-aed2-400a-a683-b4c0d20f2f68
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
September 2008
Bouchrika, Imed
240fa05b-aed2-400a-a683-b4c0d20f2f68
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Bouchrika, Imed and Nixon, Mark
(2008)
Exploratory Factor Analysis of Gait Recognition.
8th IEEE International Conference on Automatic Face and Gesture Recognition, Amsterdam, The ,, Netherlands.
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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 the effects of covariates on the recognition process. We show how these factors can separately affect the walking pattern. Further we assess the contribution and discriminatory significance of the gait dynamics used for recognition. Based on a covariate-based probe dataset of 440 samples, a high recognition rate of 73.4% is achieved using the KNN classifier. This is to confirm that people identification using dynamic gait features is still perceivable with better recognition rate even under the different covariate factors.
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Published date: September 2008
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Event Dates: 2008
Venue - Dates:
8th IEEE International Conference on Automatic Face and Gesture Recognition, Amsterdam, The ,, Netherlands, 2008-01-01
Keywords:
gait recognition, image processing, computer vision, gait dynamics, human motion analysis
Organisations:
Southampton Wireless Group
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Local EPrints ID: 266140
URI: http://eprints.soton.ac.uk/id/eprint/266140
PURE UUID: 38cea012-6001-447f-a66f-bf1a69d03b23
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Date deposited: 16 Jul 2008 14:06
Last modified: 15 Mar 2024 02:35
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Author:
Imed Bouchrika
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