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Understanding the interactions of bottom-up and top-down attention for the development of a humanoid robot system Host Publication: Attention in Cognitive Systems, Lecture Notes In Artificial Intelligence Vol. 5395 Authors: D. Henderickx, K. Maetens, T. Geerinck and E. Soetens Publisher: Springer Verlag Publication Year: 2008 ISBN: 978-3-642-00581-7
Abstract: We propose a framework of visual attention grounded on
earlier attentional and perceptual models to serve as a basis for the de-
velopment of computational vision systems. The framework is build on
generally established knowledge about the neural basis of human atten-
tion, models developed by Briand [1][2], Itti and Koch [3][4], and Wolfe
[5][6] and our own results that call for adaptations of the existing mod-
els [7][8]. In this paper we concentrate on the interaction of bottom-up
and top-down processes to understand the mechanisms underlying ex-
ogenous and endogenous attention. Two series of studies are reported to
support the proposed adaptation of the earlier models. First, we claim
that the visual feature binding is a common process for exogenous and
endogenous attention [7]. Secondly, we demonstrate the ability to preset
the bottom-up feature maps by demonstrating the phenomenon of In-
hibition of Return (IOR) with endogenous cueing, suggesting that IOR
a???ects processing before focusing attention [8].
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