A Goal Oriented Attention Guidance Model [chapter]

Vidhya Navalpakkam, Laurent Itti
2002 Lecture Notes in Computer Science  
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 real world 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
more » ... ions 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.
doi:10.1007/3-540-36181-2_45 fatcat:l7picaegp5eafjuuscvzijskp4