The University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset


Seely, Richard David, Samangooei, Sina, Middleton, Lee, Carter, John and Nixon, Mark (2008) The University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset At Biometrics: Theory, Applications and Systems, United States.

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Description/Abstract

This paper presents the University of Southampton Multi-Biometric Tunnel, a constrained environment that is designed with airports and other high throughput environments in mind. It is able to acquire a variety of non-contact biometrics in a non-intrusive manner. The system uses eight synchronised IEEE1394 cameras to capture gait and additional cameras to capture images from the face and one ear, as an individual walks through the tunnel. We demonstrate that it is possible to achieve a 99.6\% correct classification rate and a 4.3\% equal error rate without feature selection using the gait data collected from the system; comparing well with state-of-art approaches. The tunnel acquires data automatically as a subject walks through it and is designed for the collection of very large gait datasets.

Item Type: Conference or Workshop Item (Other)
Additional Information: Event Dates: 29th September 2008
Venue - Dates: Biometrics: Theory, Applications and Systems, United States, 2008-09-29
Keywords: biometrics gait face ear dataset recognition identification volumetric
Organisations: Vision, Learning and Control, IT Innovation
ePrint ID: 266970
Date :
Date Event
28 September 2008Published
Date Deposited: 08 Dec 2008 11:55
Last Modified: 17 Apr 2017 18:55
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/266970

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