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].
Henderickx, D, Maetens, K, Geerinck, T & Soetens, E 2008, Understanding the interactions of bottom-up and top-down attention for the development of a humanoid robot system. in L Paletta & E Rome (eds), Attention in Cognitive Systems, Lecture Notes In Artificial Intelligence; Vol. 5395. LNCS-LNAI, Springer Verlag, pp. 197-211.
Henderickx, D., Maetens, K., Geerinck, T., & Soetens, E. (2008). Understanding the interactions of bottom-up and top-down attention for the development of a humanoid robot system. In L. Paletta, & E. Rome (Eds.), Attention in Cognitive Systems, Lecture Notes In Artificial Intelligence; Vol. 5395 (pp. 197-211). (LNCS-LNAI). Springer Verlag.
@inbook{22c759ebcab64a83aa82cf1ed12fd294,
title = "Understanding the interactions of bottom-up and top-down attention for the development of a humanoid robot system",
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].",
keywords = "Visual attention, endogenous attention, exogenous attention, feature binding, inhibition of return",
author = "David Henderickx and Kathleen Maetens and Thomas Geerinck and Eric Soetens",
note = "L. Paletta and E. Rome",
year = "2008",
language = "English",
isbn = "978-3-642-00581-7",
series = "LNCS-LNAI",
publisher = "Springer Verlag",
pages = "197--211",
editor = "L. Paletta and E. Rome",
booktitle = "Attention in Cognitive Systems, Lecture Notes In Artificial Intelligence; Vol. 5395",
address = "Germany",
}