Exploratory Factor Analysis of Gait Recognition

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


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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 2008
Keywords: gait recognition, image processing, computer vision, gait dynamics, human motion analysis
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 266140
Accepted Date and Publication Date:
September 2008Published
Date Deposited: 16 Jul 2008 14:06
Last Modified: 31 Mar 2016 14:12
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/266140

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