The Use of Semantic Human Description as a Soft Biometric

Samangooei, S., Nixon, M. and Guo, B. (2008) The Use of Semantic Human Description as a Soft Biometric. In: Biometrics: Theory, Applications, and Systems, Sept. 29-Oct.1, 2008, Washington, USA.

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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.

Item Type:	Conference or Workshop Item
Creator/Authors:	Sina Samangooei Mark Nixon Baofeng Guo
Research Group:	Current ECS Groups > Communications, Signal Processing and Control Old ECS Groups > Information - Signals, Images, Systems Old ECS Groups > Intelligence, Agents, Multimedia Current ECS Groups > Web and Internet Science
Date:	29 September 2008
Information about this record:
Citations:	Google Scholar: 8
Downloads (2010):	151
ID Code:	16780
Last Modified:	23 Sep 2011 10:37
Deposited On:	13 Oct 2008 10:20 by Samangooei, Sina

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