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Soft biometrics; human identification using comparative descriptions

Soft biometrics; human identification using comparative descriptions
Soft biometrics; human identification using comparative descriptions
Soft biometrics are a new form of biometric identification which use physical or behavioral traits that can be naturally described by humans. Unlike other biometric approaches, this allows identification based solely on verbal descriptions, bridging the semantic gap between biometrics and human description. To permit soft biometric identification the description must be accurate, yet conventional human descriptions comprising of absolute labels and estimations are often unreliable. A novel method of obtaining human descriptions will be introduced which utilizes comparative categorical labels to describe differences between subjects. This innovative approach has been shown to address many problems associated with absolute categorical labels - most critically, the descriptions contain more objective information and have increased discriminatory capabilities. Relative measurements of the subjects’ traits can be inferred from comparative human descriptions using the Elo rating system. The resulting soft biometric signatures have been demonstrated to be robust and allow accurate recognition of subjects. Relative measurements can also be obtained from other forms of human representation. This is demonstrated using a support vector machine to determine relative measurements from gait biometric signatures - allowing retrieval of subjects from video footage by using human comparisons, bridging the semantic gap.
soft biometrics, human descriptions, retrieval, comparisons, regression, gait biometrics
1216 -1228
Reid, Daniel
2a5d60ee-542b-45fb-82c8-6bf1189696b8
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Stevenage, Sarah V.
493f8c57-9af9-4783-b189-e06b8e958460
Reid, Daniel
2a5d60ee-542b-45fb-82c8-6bf1189696b8
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Stevenage, Sarah V.
493f8c57-9af9-4783-b189-e06b8e958460

Reid, Daniel, Nixon, Mark S. and Stevenage, Sarah V. (2014) Soft biometrics; human identification using comparative descriptions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36 (6), 1216 -1228. (doi:10.1109/TPAMI.2013.219).

Record type: Article

Abstract

Soft biometrics are a new form of biometric identification which use physical or behavioral traits that can be naturally described by humans. Unlike other biometric approaches, this allows identification based solely on verbal descriptions, bridging the semantic gap between biometrics and human description. To permit soft biometric identification the description must be accurate, yet conventional human descriptions comprising of absolute labels and estimations are often unreliable. A novel method of obtaining human descriptions will be introduced which utilizes comparative categorical labels to describe differences between subjects. This innovative approach has been shown to address many problems associated with absolute categorical labels - most critically, the descriptions contain more objective information and have increased discriminatory capabilities. Relative measurements of the subjects’ traits can be inferred from comparative human descriptions using the Elo rating system. The resulting soft biometric signatures have been demonstrated to be robust and allow accurate recognition of subjects. Relative measurements can also be obtained from other forms of human representation. This is demonstrated using a support vector machine to determine relative measurements from gait biometric signatures - allowing retrieval of subjects from video footage by using human comparisons, bridging the semantic gap.

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e-pub ahead of print date: 4 November 2013
Published date: June 2014
Keywords: soft biometrics, human descriptions, retrieval, comparisons, regression, gait biometrics
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 359808
URI: http://eprints.soton.ac.uk/id/eprint/359808
PURE UUID: c35e5f68-989f-472c-8c18-b18539f5933a
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934
ORCID for Sarah V. Stevenage: ORCID iD orcid.org/0000-0003-4155-2939

Catalogue record

Date deposited: 13 Nov 2013 09:14
Last modified: 03 Dec 2019 02:07

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Contributors

Author: Daniel Reid
Author: Mark S. Nixon ORCID iD

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