The University of Southampton
University of Southampton Institutional Repository

Analysing soft clothing biometrics for retrieval

Analysing soft clothing biometrics for retrieval
Analysing soft clothing biometrics for retrieval
Soft biometrics continues to attract research interest. Traditional body and face soft biometrics have been the main research focus and have been proven, by many researchers, to be usable for identification and retrieval. Also, soft biometrics have been shown to provide several advantages over classic biometrics, such as invariance to illumination and contrast. Other than body and face, little attention has focussed on semantic descriptions of an individual, including clothing attributes. Research has yet to concern clothing characteristics as a major or complementary set of biometric traits. In this paper, we analyse the reliability and significance of clothing information for retrieval purposes. We investigate and rate the viability of semantic clothing descriptions to retrieve a subject correctly, given a verbal description of their clothing.
234-245
Jaha, Emad Sami
cc715fee-cbbf-4c20-a48a-a22a02d60387
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Cantoni, Virginio
9097585a-5e15-431f-a978-c9b893f1e5f3
Dimov, Dimo
d3eecb55-6292-4962-b245-502914b4c307
Tistarelli, Massimo
82800107-0ac6-4221-a972-6999ecc36152
Jaha, Emad Sami
cc715fee-cbbf-4c20-a48a-a22a02d60387
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Cantoni, Virginio
9097585a-5e15-431f-a978-c9b893f1e5f3
Dimov, Dimo
d3eecb55-6292-4962-b245-502914b4c307
Tistarelli, Massimo
82800107-0ac6-4221-a972-6999ecc36152

Jaha, Emad Sami and Nixon, Mark S. (2014) Analysing soft clothing biometrics for retrieval. Cantoni, Virginio, Dimov, Dimo and Tistarelli, Massimo (eds.) Biometric Authentication First International Workshop, BIOMET 2014, Bulgaria. 23 - 24 Jun 2014. pp. 234-245 . (doi:10.1007/978-3-319-13386-7).

Record type: Conference or Workshop Item (Paper)

Abstract

Soft biometrics continues to attract research interest. Traditional body and face soft biometrics have been the main research focus and have been proven, by many researchers, to be usable for identification and retrieval. Also, soft biometrics have been shown to provide several advantages over classic biometrics, such as invariance to illumination and contrast. Other than body and face, little attention has focussed on semantic descriptions of an individual, including clothing attributes. Research has yet to concern clothing characteristics as a major or complementary set of biometric traits. In this paper, we analyse the reliability and significance of clothing information for retrieval purposes. We investigate and rate the viability of semantic clothing descriptions to retrieve a subject correctly, given a verbal description of their clothing.

Text
009-BIOMET2014_Clothing Analysis for Retrieval_E.Jaha_M.Nixon.pdf - Other
Download (831kB)

More information

Published date: June 2014
Venue - Dates: Biometric Authentication First International Workshop, BIOMET 2014, Bulgaria, 2014-06-23 - 2014-06-24
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 370102
URI: http://eprints.soton.ac.uk/id/eprint/370102
PURE UUID: f6a62bee-2d4d-4bae-bcb9-a912faddef5d
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 15 Oct 2014 13:52
Last modified: 20 Jul 2019 01:28

Export record

Altmetrics

Contributors

Author: Emad Sami Jaha
Author: Mark S. Nixon ORCID iD
Editor: Virginio Cantoni
Editor: Dimo Dimov
Editor: Massimo Tistarelli

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×