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Soft biometrics and their application in person recognition at a distance

Soft biometrics and their application in person recognition at a distance
Soft biometrics and their application in person recognition at a distance
Soft biometric information extracted from a human body (e.g., height, gender, skin color, hair color, and so on) is ancillary information easily distinguished at a distance but it is not fully distinctive by itself in recognition tasks. However, this soft information can be explicitly fused with biometric recognition systems to improve the overall recognition when confronting high variability conditions. One significant example is visual surveillance, where face images are usually captured in poor quality conditions with high variability and automatic face recognition systems do not work properly. In this scenario, the soft biometric information can provide very valuable information for person recognition. This paper presents an experimental study of the benefits of soft biometric labels as ancillary information based on the description of human physical features to improve challenging person recognition scenarios at a distance. In addition, we analyze the available soft biometric information in scenarios of varying distance between camera and subject. Experimental results based on the Southampton multibiometric tunnel database show that the use of soft biometric traits is able to improve the performance of face recognition based on sparse representation on real and ideal scenarios by adaptive fusion rules.
1556-6013
464-475
Tome, Pedro
d5f56a6f-2d5c-4305-b04d-59dd48013bb9
Fierrez, Julien
b3034a15-97bb-48b2-bc7a-7c918f4986e0
Vera-Rodriguez, Ruben
d9c7e17e-332c-47ac-a9a9-30cc75d26a3e
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Tome, Pedro
d5f56a6f-2d5c-4305-b04d-59dd48013bb9
Fierrez, Julien
b3034a15-97bb-48b2-bc7a-7c918f4986e0
Vera-Rodriguez, Ruben
d9c7e17e-332c-47ac-a9a9-30cc75d26a3e
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Tome, Pedro, Fierrez, Julien, Vera-Rodriguez, Ruben and Nixon, Mark S. (2014) Soft biometrics and their application in person recognition at a distance. IEEE Transactions on Information Forensics and Security, 9 (3), 464-475. (doi:10.1109/TIFS.2014.2299975).

Record type: Article

Abstract

Soft biometric information extracted from a human body (e.g., height, gender, skin color, hair color, and so on) is ancillary information easily distinguished at a distance but it is not fully distinctive by itself in recognition tasks. However, this soft information can be explicitly fused with biometric recognition systems to improve the overall recognition when confronting high variability conditions. One significant example is visual surveillance, where face images are usually captured in poor quality conditions with high variability and automatic face recognition systems do not work properly. In this scenario, the soft biometric information can provide very valuable information for person recognition. This paper presents an experimental study of the benefits of soft biometric labels as ancillary information based on the description of human physical features to improve challenging person recognition scenarios at a distance. In addition, we analyze the available soft biometric information in scenarios of varying distance between camera and subject. Experimental results based on the Southampton multibiometric tunnel database show that the use of soft biometric traits is able to improve the performance of face recognition based on sparse representation on real and ideal scenarios by adaptive fusion rules.

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e-pub ahead of print date: 13 January 2014
Published date: March 2014
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 363288
URI: http://eprints.soton.ac.uk/id/eprint/363288
ISSN: 1556-6013
PURE UUID: bfcd58bb-630f-42fa-a613-8448ac277a58
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

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Date deposited: 20 Mar 2014 12:10
Last modified: 17 Dec 2019 02:04

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