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Modeling Saccadic Targeting in Visual Serach
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@Article{Rao:NIPS95,
  author = 	 {Rajesh P.N. Rao and Gregory J. Zelinsky and Mary M. Hayhoe and Dana H. Ballard},
  title = 	 {Modeling Saccadic Targeting in Visual Serach},
  journal = 	 {Neural Information Processing Systems},
  year = 	 {1995},
  abstract =     { 
Visual cognition depends critically on the ability to make rapid eye movements
known as saccades that orient the fovea over targets of interest in a visual
scene. Saccades are known to be ballistic: the pattern of muscle activation
for foveating a prespecified target location is computed prior to the movement
and visual feedback is precluded. Despite these distinctive properties, there
has been no general model of the saccadic targeting strategy employed by
the human visual system during visual search in natural scenes. This paper
proposes a model for saccadic targeting that uses iconic scene representations
derived from oriented spatial filters at multiple scales. Visual search proceeds
in a coarse­to­fine fashion with the largest scale filter responses being compared
first. The model was empirically tested by comparing its performance with
actual eye movement data from human subjects in a natural visual search task;
preliminary results indicate substantial agreement between eye movements
predicted by the model and those recorded from human subjects.  }
}