Probabilistic Fusion of Gait Features for Biometric Verification


Bazin, Alex I., Middleton, Lee and Nixon, Mark S. (2005) Probabilistic Fusion of Gait Features for Biometric Verification At Eighth International Conference of Information Fusion, 2005., United States. 25 - 29 Jul 2005.

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Description/Abstract

This paper examines the fusion of various gait metrics in a probabilistic framework. Using three gait modalities we describe a process for determining probabilistic match scores using intra and inter-class variance models together with Bayes rule. We then propose to fuse these modalities based on established fusion rules with weights determined in a principled manner. Using a large publicly available database we show improvements through fusion, both in terms of verification accuracy and class separation; we also consider how the accuracy of each modality and the correlation between the modalities affects overall performance.

Item Type: Conference or Workshop Item (Other)
Additional Information: Event Dates: 25th-29th July 2005
Venue - Dates: Eighth International Conference of Information Fusion, 2005., United States, 2005-07-25 - 2005-07-29
Keywords: Fusion, Biometrics, Logistic function, Bayesian
Organisations: Electronics & Computer Science, IT Innovation, Southampton Wireless Group
ePrint ID: 261148
Date :
Date Event
2005Published
Date Deposited: 11 Aug 2005
Last Modified: 17 Apr 2017 22:01
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/261148

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