Learning to Anticipate the Movements of Intermittently Occluded Objects
A model of event driven anticipatory learning is described and applied to a number of attention situations where one or several visual targets need to be tracked while being intermittently occluded. The model combines covert tracking of multiple targets with overt control of a single attention focus. The implemented system has been applied to both a simple scenario with a car that is occluded in a
