Identifying humans using comparative descriptions
Identifying humans using comparative descriptions
Soft biometrics is a new form of biometric identification which utilizes human descriptions of a subject’s physical appearance. Although these descriptions intuitively have less discriminatory capability than traditional biometric approaches, they are able to retrieve and recognize subjects based solely on a human description. To permit soft biometric identification the human description must be accurate, yet conventional human descriptions comprising of absolute labels and estimations are often unreliable. In this paper we introduce a novel method of human description which utilizes comparative descriptors derived from visual comparisons between subjects. This innovative approach to obtaining human descriptions has been shown to counter many problems associated with absolute categorical labels. Comparative categorical labels are objective and can be used to infer descriptive continuous relative measurements. The resulting biometric signatures have been demonstrated to differ significantly from absolute descriptions allowing improved retrieval of subjects and could even be used to increase the accuracy of witness description in crime analysis.
Reid, Daniel
2a5d60ee-542b-45fb-82c8-6bf1189696b8
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Stevenage, Sarah
493f8c57-9af9-4783-b189-e06b8e958460
3 November 2011
Reid, Daniel
2a5d60ee-542b-45fb-82c8-6bf1189696b8
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Stevenage, Sarah
493f8c57-9af9-4783-b189-e06b8e958460
Reid, Daniel, Nixon, Mark and Stevenage, Sarah
(2011)
Identifying humans using comparative descriptions.
International Conference on Imaging for Crime Detection and Prevention, Kingston, United Kingdom.
03 - 04 Nov 2011.
Record type:
Conference or Workshop Item
(Poster)
Abstract
Soft biometrics is a new form of biometric identification which utilizes human descriptions of a subject’s physical appearance. Although these descriptions intuitively have less discriminatory capability than traditional biometric approaches, they are able to retrieve and recognize subjects based solely on a human description. To permit soft biometric identification the human description must be accurate, yet conventional human descriptions comprising of absolute labels and estimations are often unreliable. In this paper we introduce a novel method of human description which utilizes comparative descriptors derived from visual comparisons between subjects. This innovative approach to obtaining human descriptions has been shown to counter many problems associated with absolute categorical labels. Comparative categorical labels are objective and can be used to infer descriptive continuous relative measurements. The resulting biometric signatures have been demonstrated to differ significantly from absolute descriptions allowing improved retrieval of subjects and could even be used to increase the accuracy of witness description in crime analysis.
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Published date: 3 November 2011
Additional Information:
Event Dates: 3-4 November 2011
Venue - Dates:
International Conference on Imaging for Crime Detection and Prevention, Kingston, United Kingdom, 2011-11-03 - 2011-11-04
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 272977
URI: http://eprints.soton.ac.uk/id/eprint/272977
PURE UUID: 7b1aa103-dae4-4616-af58-988ce74436bd
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Date deposited: 07 Nov 2011 09:55
Last modified: 15 Mar 2024 02:47
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Author:
Daniel Reid
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