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Soft-biometrics : unconstrained authentication in a surveillance environment

Denman, Simon, Fookes, Clinton B., Bialkowski, Alina, & Sridharan, Sridha (2010) Soft-biometrics : unconstrained authentication in a surveillance environment. In Digital Image Computing: Techniques and Applications, 2009. DICTA '09, Melbourne, Victoria, pp. 196-203.

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Abstract

Soft biometrics are characteristics that can be used to describe, but not uniquely identify an individual. These include traits such as height, weight, gender, hair, skin and clothing colour. Unlike traditional biometrics (i.e. face, voice) which require cooperation from the subject, soft biometrics can be acquired by surveillance cameras at range without any user cooperation. Whilst these traits cannot provide robust authentication, they can be used to provide coarse authentication or identification at long range, locate a subject who has been previously seen or who matches a description, as well as aid in object tracking. In this paper we propose three part (head, torso, legs) height and colour soft biometric models, and demonstrate their verification performance on a subset of the PETS 2006 database. We show that these models, whilst not as accurate as traditional biometrics, can still achieve acceptable rates of accuracy in situations where traditional biometrics cannot be applied.

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17 citations in Scopus
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5 citations in Web of Science®

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ID Code: 31334
Item Type: Conference Paper
Additional URLs:
Keywords: Soft Biometrics, Appearance Model, Unconstrained Authentication, Coarse Authentication, Surveillance
DOI: 10.1109/DICTA.2009.38
ISBN: 9781424452972
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright © 2009 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 16 Mar 2010 16:26
Last Modified: 01 Mar 2012 00:04

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