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Soft biometrics for subject identification using clothing attributes

Soft biometrics for subject identification using clothing attributes
Soft biometrics for subject identification using clothing attributes
Recently, soft biometrics has emerged as a novel attribute-based person description for identification. It is likely that soft biometrics can be deployed where other biometrics cannot, and have stronger invariance properties than vision-based biometrics, such as invariance to illumination and contrast. Previously, a variety of bodily soft biometrics has been used for identifying people. Describing a person by their clothing properties is a natural task performed by people. As yet, clothing descriptions have attracted little attention for identification purposes. There has been some usage of clothing attributes to augment biometric description, but a detailed description has yet to be used. We show here how clothing traits can be exploited for identification purposes. We explore the validity and usability of a set of proposed semantic attributes. Human identification is performed, evaluated and compared using different proposed forms of soft clothing traits in addition and in isolation.
1-6
Jaha, Emad Sami
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Nixon, Mark S.
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Jaha, Emad Sami
cc715fee-cbbf-4c20-a48a-a22a02d60387
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Jaha, Emad Sami and Nixon, Mark S. (2014) Soft biometrics for subject identification using clothing attributes. IEEE International Joint Conference on Biometrics (IJCB 2014), United States. 29 Sep - 02 Oct 2014. pp. 1-6 . (doi:10.1109/BTAS.2014.6996278).

Record type: Conference or Workshop Item (Paper)

Abstract

Recently, soft biometrics has emerged as a novel attribute-based person description for identification. It is likely that soft biometrics can be deployed where other biometrics cannot, and have stronger invariance properties than vision-based biometrics, such as invariance to illumination and contrast. Previously, a variety of bodily soft biometrics has been used for identifying people. Describing a person by their clothing properties is a natural task performed by people. As yet, clothing descriptions have attracted little attention for identification purposes. There has been some usage of clothing attributes to augment biometric description, but a detailed description has yet to be used. We show here how clothing traits can be exploited for identification purposes. We explore the validity and usability of a set of proposed semantic attributes. Human identification is performed, evaluated and compared using different proposed forms of soft clothing traits in addition and in isolation.

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136-IJCB2014_Clothing Attributes for Identification_E.Jaha_M.Nixon.pdf - Other
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More information

Published date: 2014
Venue - Dates: IEEE International Joint Conference on Biometrics (IJCB 2014), United States, 2014-09-29 - 2014-10-02
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 370100
URI: http://eprints.soton.ac.uk/id/eprint/370100
PURE UUID: 4c24bb25-db8e-429c-92b9-b5e5677763e2
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 15 Oct 2014 13:54
Last modified: 19 Nov 2019 02:04

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