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Clothing analysis for subject identification and retrieval

Clothing analysis for subject identification and retrieval
Clothing analysis for subject identification and retrieval
Soft biometrics offer several advantages over traditional biometrics. With given poor quality data, as in surveillance footage, most traditional biometrics lose utility, whilst the majority of soft biometrics is still applicable. Amongst many of a person’s descriptive features, clothing stands out as a predominant characteristic of their appearance. Clothing attributes can be effortlessly observable and described conventionally by accepted labels. Although there are many research studies on clothing attribute analysis, only few are concerned with analysing clothing attributes for biometric purposes. Hence, the use of clothing as a biometric for person identity deserves more research interest than it has yet received. This chapter provides extended analyses of soft clothing attributes and studies the clothing feature space via detailed analysis and empirical investigation of the capabilities of soft biometrics using clothing attributes in human identification and retrieval, leading to a perceptive guide for feature subset selection and enhanced performance. It also offers a methodology framework for soft clothing biometrics derivation and their performance evaluation.
167
Springer
Jaha, Emad
3e8d58cd-4526-42a2-aeca-416feaa8dbfe
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Liu, C.
Jaha, Emad
3e8d58cd-4526-42a2-aeca-416feaa8dbfe
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Liu, C.

Jaha, Emad and Nixon, Mark (2017) Clothing analysis for subject identification and retrieval. In, Liu, C. (ed.) Recent Advances in Intelligent Image Search and Video Retrieval : Intelligent Systems Reference Library. Springer, p. 167. (doi:10.1007/978-3-319-52081-0_8).

Record type: Book Section

Abstract

Soft biometrics offer several advantages over traditional biometrics. With given poor quality data, as in surveillance footage, most traditional biometrics lose utility, whilst the majority of soft biometrics is still applicable. Amongst many of a person’s descriptive features, clothing stands out as a predominant characteristic of their appearance. Clothing attributes can be effortlessly observable and described conventionally by accepted labels. Although there are many research studies on clothing attribute analysis, only few are concerned with analysing clothing attributes for biometric purposes. Hence, the use of clothing as a biometric for person identity deserves more research interest than it has yet received. This chapter provides extended analyses of soft clothing attributes and studies the clothing feature space via detailed analysis and empirical investigation of the capabilities of soft biometrics using clothing attributes in human identification and retrieval, leading to a perceptive guide for feature subset selection and enhanced performance. It also offers a methodology framework for soft clothing biometrics derivation and their performance evaluation.

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e-pub ahead of print date: 19 April 2017

Identifiers

Local EPrints ID: 426323
URI: http://eprints.soton.ac.uk/id/eprint/426323
PURE UUID: 8756703c-5854-4a9e-b6dc-991ec369d4a5
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 22 Nov 2018 17:30
Last modified: 07 Oct 2020 02:37

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Contributors

Author: Emad Jaha
Author: Mark Nixon ORCID iD
Editor: C. Liu

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