Seely, Richard David, Samangooei, Sina, Middleton, Lee, Carter, John and Nixon, Mark
The University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset
At Biometrics: Theory, Applications and Systems, United States.
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.
Conference or Workshop Item
||Event Dates: 29th September 2008
|Venue - Dates:
||Biometrics: Theory, Applications and Systems, United States, 2008-09-29
||biometrics gait face ear dataset recognition identification volumetric
||Vision, Learning and Control, IT Innovation
|28 September 2008||Published|
||08 Dec 2008 11:55
||17 Apr 2017 18:55
|Further Information:||Google Scholar|
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