publication . Conference object . 2008

i pomdp an infomax model of eye movement

Nicholas J. Butko; Javier R. Movellan;
Open Access
  • Published: 14 Oct 2008
  • Publisher: IEEE
Abstract
Modeling eye-movements during search is important for building intelligent robotic vision systems, and for understanding how humans select relevant information and structure behavior in real time. Previous models of visual search (VS) rely on the idea of ldquosaliency mapsrdquo which indicate likely locations for targets of interest. In these models the eyes move to locations with maximum saliency. This approach has several drawbacks: (1) It assumes that oculomotor control is a greedy process, i.e., every eye movement is planned as if no further eye movements would be possible after it. (2) It does not account for temporal dynamics and how information is integra...
Subjects
free text keywords: Partially observable Markov decision process, Salience (neuroscience), Optimal control, Artificial intelligence, business.industry, business, Visual search, Decision theory, Machine learning, computer.software_genre, computer, Markov process, symbols.namesake, symbols, Infomax, Eye movement, Computer science
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