The University of Southampton
University of Southampton Institutional Repository

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.

Record type: Conference or Workshop Item (Other)


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.

PDF rsbtas.pdf - Version of Record
Download (531kB)

More information

Published date: 28 September 2008
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


Local EPrints ID: 266970
PURE UUID: 924550f0-c77f-4903-a0d9-e862ad24c380

Catalogue record

Date deposited: 08 Dec 2008 11:55
Last modified: 18 Jul 2017 07:09

Export record


Author: Richard David Seely
Author: Sina Samangooei
Author: Lee Middleton
Author: John Carter
Author: Mark Nixon

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.