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Soft biometrics for surveillance: an overview

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
0169-7161
31
327-352
Elsevier
Reid, Daniel
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Samangooei, Sina
c380fb26-55d4-4b34-94e7-c92bbb26a40d
Chen, Cunjian
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Nixon, Mark
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Ross, Arun
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Reid, Daniel
2a5d60ee-542b-45fb-82c8-6bf1189696b8
Samangooei, Sina
c380fb26-55d4-4b34-94e7-c92bbb26a40d
Chen, Cunjian
6f9d203f-8056-4236-8dce-9be4a4d24822
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Ross, Arun
491e934a-5977-4e6b-9e64-50cacced6a19

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, , (doi:10.1016/B978-0-444-53859-8.00013-8), 31) Elsevier, pp. 327-352. (doi:10.1016/B978-0-444-53859-8.00013-8).

Record type: 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

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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
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

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Date deposited: 16 Aug 2012 10:08
Last modified: 17 Dec 2019 02:04

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Contributors

Author: Daniel Reid
Author: Sina Samangooei
Author: Cunjian Chen
Author: Mark Nixon ORCID iD
Author: Arun Ross

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