Individual Identification from Video Based on “Behavioural Biometrics”

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

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.
LanguageEnglish
Title of host publicationBehavioral Biometrics for Human Identification: Intelligent Applications
EditorsLiang Wang, Xin Geng
Pages75-101
Publication statusPublished - 2009

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Biometrics
Security systems

Cite this

Yogarajah, P., Condell, JV., & Prasad, G. (2009). Individual Identification from Video Based on “Behavioural Biometrics”. In L. Wang, & X. Geng (Eds.), Behavioral Biometrics for Human Identification: Intelligent Applications (pp. 75-101)
Yogarajah, Pratheepan ; Condell, JV ; Prasad, G. / Individual Identification from Video Based on “Behavioural Biometrics”. Behavioral Biometrics for Human Identification: Intelligent Applications. editor / Liang Wang ; Xin Geng. 2009. pp. 75-101
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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.",
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Yogarajah, P, Condell, JV & Prasad, G 2009, Individual Identification from Video Based on “Behavioural Biometrics”. in L Wang & X Geng (eds), Behavioral Biometrics for Human Identification: Intelligent Applications. pp. 75-101.

Individual Identification from Video Based on “Behavioural Biometrics”. / Yogarajah, Pratheepan; Condell, JV; Prasad, G.

Behavioral Biometrics for Human Identification: Intelligent Applications. ed. / Liang Wang; Xin Geng. 2009. p. 75-101.

Research output: Chapter in Book/Report/Conference proceedingChapter

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AB - 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.

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Yogarajah P, Condell JV, Prasad G. Individual Identification from Video Based on “Behavioural Biometrics”. In Wang L, Geng X, editors, Behavioral Biometrics for Human Identification: Intelligent Applications. 2009. p. 75-101