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Exploratory Factor Analysis of Gait Recognition

Bouchrika, Imed and Nixon, Mark (2008) Exploratory Factor Analysis of Gait Recognition At 8th IEEE International Conference on Automatic Face and Gesture Recognition, Netherlands.

Record type: Conference or Workshop Item (Paper)


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
Additional Information: Event Dates: 2008
Venue - Dates: 8th IEEE International Conference on Automatic Face and Gesture Recognition, Netherlands, 2008-01-01
Keywords: gait recognition, image processing, computer vision, gait dynamics, human motion analysis
Organisations: Southampton Wireless Group


Local EPrints ID: 266140
PURE UUID: 38cea012-6001-447f-a66f-bf1a69d03b23

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Date deposited: 16 Jul 2008 14:06
Last modified: 18 Jul 2017 07:19

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Author: Imed Bouchrika
Author: Mark Nixon

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