Visual Attention for Behavioral Biometric Systems

Visual Attention for Behavioral Biometric Systems

Concetto Spampinato (University of Catania, Italy)
DOI: 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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Background Of Attentional Research

Human vision system seems to apply serial computational strategy when inspecting complex visual scenes. Particular locations in scenes are selected based on their relevance from both the objective and subjective point of view, with reference to the observer, i.e. In notable study of 1967, Yarbus (Yarbus, A. L. (1967)) demonstrated that perception of complex scene involves complicated pattern of fixations, where the eye stands still, and saccades, where the eye moves to include in the fovea a part of the scene. Basically, fixations occur for zones that are salient to determine specific features of the scene under consideration. Therefore when humans look a face, they usually concentrate the attention (evidenced by the saccadic movements) to the main facial features like eyes, nose, mouth, etc.. See Figure 1 for instance. The distributions of those movements are strongly connected to the personal psychology.

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