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DICTA
2009

Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment

8 years 9 months ago
Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment
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 [1] 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 appl...
Simon Denman, Clinton Fookes, Alina Bialkowski, Sr
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where DICTA
Authors Simon Denman, Clinton Fookes, Alina Bialkowski, Sridha Sridharan
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