Soft biometrics for surveillance: an overview
Soft biometrics for surveillance: an overview
Biometrics is the science of automatically recognizing people based on physical or behavioral characteristics such as face, fingerprint, iris, hand, voice, gait and signature. More recently, the use of soft biometric traits has been proposed to improve the performance of traditional biometric systems and allow identification based on human descriptions. Soft biometric traits include characteristics such as height, weight, body geometry, scars, marks and tattoos (SMT), gender, etc. These traits offer several advantages over traditional biometric techniques. Soft biometric traits can be typically described using human understandable labels and measurements, allowing for retrieval and recognition solely based on verbal descriptions. Unlike many primary biometric traits, soft biometrics can be obtained at a distance without subject cooperation and from low quality video footage, making them ideal for use in surveillance applications. This chapter will introduce the current state-of-the-art in the emerging field of soft biometrics
978-0-444-53859-8
327-352
Reid, Daniel
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Samangooei, Sina
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Chen, Cunjian
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Nixon, Mark
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Ross, Arun
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2013
Reid, Daniel
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Samangooei, Sina
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Chen, Cunjian
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Nixon, Mark
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Ross, Arun
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Reid, Daniel, Samangooei, Sina, Chen, Cunjian, Nixon, Mark and Ross, Arun
(2013)
Soft biometrics for surveillance: an overview.
In,
Machine Learning: Theory and Applications.
(Handbook of Statistics, 31)
Elsevier, .
(doi:10.1016/B978-0-444-53859-8.00013-8).
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Book Section
Abstract
Biometrics is the science of automatically recognizing people based on physical or behavioral characteristics such as face, fingerprint, iris, hand, voice, gait and signature. More recently, the use of soft biometric traits has been proposed to improve the performance of traditional biometric systems and allow identification based on human descriptions. Soft biometric traits include characteristics such as height, weight, body geometry, scars, marks and tattoos (SMT), gender, etc. These traits offer several advantages over traditional biometric techniques. Soft biometric traits can be typically described using human understandable labels and measurements, allowing for retrieval and recognition solely based on verbal descriptions. Unlike many primary biometric traits, soft biometrics can be obtained at a distance without subject cooperation and from low quality video footage, making them ideal for use in surveillance applications. This chapter will introduce the current state-of-the-art in the emerging field of soft biometrics
Text
Chapter 13 hb statistics.pdf
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Published date: 2013
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 342219
URI: http://eprints.soton.ac.uk/id/eprint/342219
ISBN: 978-0-444-53859-8
ISSN: 0169-7161
PURE UUID: b251f08e-31c7-4611-ba15-61f1991bb278
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Date deposited: 16 Aug 2012 10:08
Last modified: 15 Mar 2024 02:35
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Author:
Daniel Reid
Author:
Sina Samangooei
Author:
Cunjian Chen
Author:
Arun Ross
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