Object-based visual attention: A model for a behaving robot

Francesco Orabona, Giorgio Metta, Giulio Sandini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

76 Scopus citations


One of the first steps of any visual system is that of locating suitable interest points, “salient regions”, in the scene, to detect events, and eventually to direct gaze toward these locations. In the last few years, object-based visual attention models have received an increasing interest in the literature, the problem, in this case, being that of creating a model of “objecthood” that eventually guides a saliency mechanism. We propose here an object-based model of visual attention and show its instantiation on a humanoid robot. The robot employs action to learn and define its own concept of objecthood.
Original languageEnglish (US)
Title of host publicationIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
PublisherIEEE Computer Society
ISBN (Print)0769526608
StatePublished - Jan 1 2005
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-25


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