Probabilistic Fusion of Gait Features for Biometric Verification
Probabilistic Fusion of Gait Features for Biometric Verification
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.
Fusion, Biometrics, Logistic function, Bayesian
Bazin, Alex I.
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Middleton, Lee
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Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
2005
Bazin, Alex I.
feead1f3-0fc6-4a1e-b089-f62361614633
Middleton, Lee
f165a2fa-1a66-4d84-9c58-0cdaa8e73272
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Bazin, Alex I., Middleton, Lee and Nixon, Mark S.
(2005)
Probabilistic Fusion of Gait Features for Biometric Verification.
Eighth International Conference of Information Fusion, 2005., Philadelphia, PA, United States.
25 - 29 Jul 2005.
Record type:
Conference or Workshop Item
(Other)
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.
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Fusion_2005.pdf
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More information
Published date: 2005
Additional Information:
Event Dates: 25th-29th July 2005
Venue - Dates:
Eighth International Conference of Information Fusion, 2005., Philadelphia, PA, United States, 2005-07-25 - 2005-07-29
Keywords:
Fusion, Biometrics, Logistic function, Bayesian
Organisations:
Electronics & Computer Science, IT Innovation, Southampton Wireless Group
Identifiers
Local EPrints ID: 261148
URI: http://eprints.soton.ac.uk/id/eprint/261148
PURE UUID: 9f848a09-e756-42de-b7a2-22dc163c6202
Catalogue record
Date deposited: 11 Aug 2005
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Alex I. Bazin
Author:
Lee Middleton
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