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,

Download

[img] PDF - Submitted Version
Download (539Kb)

Description/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.

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 > Comms, Signal Processing & Control
ePrint ID: 266140
Date Deposited: 16 Jul 2008 14:06
Last Modified: 27 Mar 2014 20:11
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/266140

Actions (login required)

View Item View Item