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oai:drops-oai.dagstuhl.de:2628 2024-03-06T11:09:11Z ddc:004 open_access

Attending to Motion: an object-based approach Belardinelli, Anna Visual attention model motion selection saliency map Visual attention is the biological mechanism allowing to turn mere sensing into conscious perception. In this process, object-based modulation of attention provides a further layer between low-level space/feature-based region selection and full object recognition. In this context, motion is a very powerful feature, naturally attracting our gaze and yielding rapid and effective shape distinction. Moving from a pixel-based account of attention to the definition of proto-objects as perceptual units labelled with a single saliency value, we present a framework for the selection of moving objects within cluttered scenes. Through segmentation of motion energy features, the system extracts coherently moving proto-objects defining them as consistently moving blobs and produces an object saliency map, by evaluating bottom-up distinctiveness of each object candidate with respect to its surroundings, in a center-surround fashion. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Anna Belardinelli 2010 Is Part Of Dagstuhl Seminar Proceedings, Volume 10081, Cognitive Robotics (2010) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.10081.3 urn:nbn:de:0030-drops-26285 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10081.3 eng https://creativecommons.org/licenses/by/4.0/legalcode