The Use of Semantic Human Description as a Soft Biometric
The Use of Semantic Human Description as a Soft Biometric
Gait as a biometric has a unique advantage that it can be used when images are acquired at a distance and other biometrics are at too low a resolution to be perceived. In such a situation, there is still information which can be readily perceived by human vision, yet is difficult to extract automatically. We examine how this information can be used to enrich the recognition process. We call these descriptions semantic annotations and investigate their use in biometric scenarios. We outline a group of visually assessable physical traits formulated as a mutually exclusive set of semantic terms we contend that these traits are usable in soft biometric fusion. An experiment to gather semantic annotations was performed and the most reliable traits are identified using ANOVA. We rate the ability to correctly identify subjects using these semantically prescribed traits, both in isolation as well as in fusion with an automatically derived gait signature.
Samangooei, Sina
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Nixon, Mark
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Guo, Baofeng
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29 September 2008
Samangooei, Sina
c380fb26-55d4-4b34-94e7-c92bbb26a40d
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Guo, Baofeng
e62b04c7-167b-45d9-a400-67a631861f24
Samangooei, Sina, Nixon, Mark and Guo, Baofeng
(2008)
The Use of Semantic Human Description as a Soft Biometric.
Biometrics: Theory, Applications, and Systems, Washington, United States.
29 Sep - 01 Oct 2008.
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Conference or Workshop Item
(Paper)
Abstract
Gait as a biometric has a unique advantage that it can be used when images are acquired at a distance and other biometrics are at too low a resolution to be perceived. In such a situation, there is still information which can be readily perceived by human vision, yet is difficult to extract automatically. We examine how this information can be used to enrich the recognition process. We call these descriptions semantic annotations and investigate their use in biometric scenarios. We outline a group of visually assessable physical traits formulated as a mutually exclusive set of semantic terms we contend that these traits are usable in soft biometric fusion. An experiment to gather semantic annotations was performed and the most reliable traits are identified using ANOVA. We rate the ability to correctly identify subjects using these semantically prescribed traits, both in isolation as well as in fusion with an automatically derived gait signature.
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Published date: 29 September 2008
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Event Dates: Sept. 29-Oct.1, 2008
Venue - Dates:
Biometrics: Theory, Applications, and Systems, Washington, United States, 2008-09-29 - 2008-10-01
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 266780
URI: http://eprints.soton.ac.uk/id/eprint/266780
PURE UUID: fbacfdd6-ac59-407c-9795-f83fcdf006bc
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Date deposited: 13 Oct 2008 10:20
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Sina Samangooei
Author:
Baofeng Guo
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