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V. Navalpakkam, L. Itti, A Goal Oriented Attention Guidance Model, In: Lecture Notes in Computer Science, Vol. 2525, pp. 453-461, Nov 2002. (Cited by 129)
Abstract: Previous experiments have shown that human attention is influenced by high level task demands. In this paper, we propose an architecture to estimate the task-relevance of attended locations in a scene. We maintain a task graph and compute relevance of fixations using an ontology that contains a description of worldly entities and their relationships. Our model guides attention according to a topographic attention guidance map that encodes the bottom-up salience and task-relevance of all locations in the scene. We have demonstrated that our model detects entities that are salient and relevant to the task even on natural cluttered scenes and arbitrary tasks.
Themes: Computational Modeling, Model of Bottom-Up Saliency-Based Visual Attention, Model of Top-Down Attentional Modulation, Computer Vision, Scene Understanding
Copyright © 2000-2007 by the University of Southern California, iLab and Prof. Laurent Itti.
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