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, Hyatt Regency Crystal City, Washington DC, USA, IEEE.

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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 (Speech)
Additional Information: Event Dates: 29th September 2008
Keywords: biometrics gait face ear dataset recognition identification volumetric
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > IT Innovation Centre
ePrint ID: 266970
Date Deposited: 08 Dec 2008 11:55
Last Modified: 27 Mar 2014 20:12
Publisher: IEEE
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/266970

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