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Developing a non-intrusive biometric environment

Developing a non-intrusive biometric environment
Developing a non-intrusive biometric environment
The development of large scale biometric systems requires experiments to be performed on large amounts of data. Existing capture systems are designed for fixed experiments and are not easily scalable. In this scenario even the addition of extra data is difficult. We developed a prototype \emph{biometric tunnel} for the capture of non-contact biometrics. It is self contained and autonomous. Such a configuration is ideal for building access or deployment in secure environments. The tunnel captures cropped images of the subject's face and performs a 3D reconstruction of the person's motion which is used to extract gait information. Interaction between the various parts of the system is performed via the use of an agent framework. The design of this system is a trade-off between parallel and serial processing due to various hardware bottlenecks. When tested on a small population the extracted features have been shown to be potent for recognition. We currently achieve a moderate throughput of approximate 15 subjects an hour and hope to improve this in the future as the prototype becomes more complete.
Middleton, Lee
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Wagg, David K.
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Bazin, Alex I.
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Carter, John N.
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Nixon, Mark S.
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Middleton, Lee
5fb39a8c-1d0e-4aaf-b93d-077900d7b56d
Wagg, David K.
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Bazin, Alex I.
feead1f3-0fc6-4a1e-b089-f62361614633
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Middleton, Lee, Wagg, David K., Bazin, Alex I., Carter, John N. and Nixon, Mark S. (2006) Developing a non-intrusive biometric environment. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), China. 11 - 13 Oct 2006.

Record type: Conference or Workshop Item (Paper)

Abstract

The development of large scale biometric systems requires experiments to be performed on large amounts of data. Existing capture systems are designed for fixed experiments and are not easily scalable. In this scenario even the addition of extra data is difficult. We developed a prototype \emph{biometric tunnel} for the capture of non-contact biometrics. It is self contained and autonomous. Such a configuration is ideal for building access or deployment in secure environments. The tunnel captures cropped images of the subject's face and performs a 3D reconstruction of the person's motion which is used to extract gait information. Interaction between the various parts of the system is performed via the use of an agent framework. The design of this system is a trade-off between parallel and serial processing due to various hardware bottlenecks. When tested on a small population the extracted features have been shown to be potent for recognition. We currently achieve a moderate throughput of approximate 15 subjects an hour and hope to improve this in the future as the prototype becomes more complete.

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More information

Published date: 2006
Additional Information: Event Dates: 11-13 October
Venue - Dates: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), China, 2006-10-11 - 2006-10-13
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 262818
URI: http://eprints.soton.ac.uk/id/eprint/262818
PURE UUID: 1c66d41c-a2b7-49ec-8653-a8473028c671
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 09 Jul 2006
Last modified: 03 Dec 2019 02:07

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