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Visual Attention for Behavioral Biometric Systems

Visual Attention for Behavioral Biometric Systems

Concetto Spampinato
Copyright: © 2010 |Pages: 27
ISBN13: 9781605667256|ISBN10: 1605667250|ISBN13 Softcover: 9781616924041|EISBN13: 9781605667263
DOI: 10.4018/978-1-60566-725-6.ch014
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MLA

Spampinato, Concetto. "Visual Attention for Behavioral Biometric Systems." Behavioral Biometrics for Human Identification: Intelligent Applications, edited by Liang Wang and Xin Geng, IGI Global, 2010, pp. 290-316. https://doi.org/10.4018/978-1-60566-725-6.ch014

APA

Spampinato, C. (2010). Visual Attention for Behavioral Biometric Systems. In L. Wang & X. Geng (Eds.), Behavioral Biometrics for Human Identification: Intelligent Applications (pp. 290-316). IGI Global. https://doi.org/10.4018/978-1-60566-725-6.ch014

Chicago

Spampinato, Concetto. "Visual Attention for Behavioral Biometric Systems." In Behavioral Biometrics for Human Identification: Intelligent Applications, edited by Liang Wang and Xin Geng, 290-316. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-725-6.ch014

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Abstract

The chapter is so articulated: the first section will tackle the state of art of the attention theory, with the third paragraph related to the computational models that implement the attention theories, with a particular focus on the model that is the basis for the proposed biometric systems. Such an algorithm will be used for describing the first biometric system. The following section will tackle the people recognition algorithms carried out by evaluating the FOAs distribution. In detail, two different systems are proposed: 1) a face recognition system that takes into account both the behavioral and morphological aspects, and 2) a pure behavioral biometric system that recognizes people according to their actions evaluated by a careful analysis of the extracted FOAs.

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