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Individual Identification from Video Based on “Behavioural Biometrics”

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Yogarajah, Pratheepan, Condell, JV and Prasad, G (2009) Individual Identification from Video Based on “Behavioural Biometrics”. In: Behavioral Biometrics for Human Identification: Intelligent Applications. (Eds: Wang, Liang and Geng, Xin), IGI Online Bookstore, Medical Information Science Reference, pp. 75-101. ISBN 978-1-60566-725-6 [Book section]

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Abstract

This chapter presents multiple methods for recognizing individuals from their “style of action/actions”, i.e. “biometric behavioural characteristics”. Two forms of human recognition can be useful: the determination that an object is from the class of humans (which is called human detection), and the determination that an object is a particular individual from this class (which is called individual recognition). This chapter focuses on the latter problem.For individual recognition, this chapter considers two different categories. Firstly, individual recognition using “style of single action” i.e. hand waving and partial gait and secondly individual recognition using “style of doing similar actions” in video sequences. The “style of single action” and “style of doing similar actions”, i.e. behavioural biometric characteristics, are proposed as a cue to discriminate between two individuals. Nowadays multi-biometric security systems are available to recognise individuals from video sequences. Those multi-biometric systems are combined with finger print, face, voice and iris biometrics. This chapter reports multiple novel behavioural biometric techniques for individual recognition based on “style of single action” and “style of multiple actions” (i.e., analysing the pattern history of behavioural biometric motion), which can be additionally combined with finger print, face, voice and iris biometrics as a complementary cue to intelligent security systems.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:12207
Deposited By:Professor Girijesh Prasad
Deposited On:09 Mar 2010 12:24
Last Modified:09 Mar 2010 12:24

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