Paper Available: Eye Movements in Visual Search

[rao@cs.rochester.edu]

 	     Modeling Saccadic Targeting in Visual Search

                 Rajesh P.N. Rao, Gregory J. Zelinsky,
		  Mary M. Hayhoe and Dana H. Ballard

         	   Department of Computer Science
		      University of Rochester
                      Rochester, NY 14627, USA

  To appear in [Advances in Neural Information Processing Systems 8 (NIPS*95), 
       D. Touretzky, M. Mozer and M. Hasselmo (Eds.), MIT Press, 1996]

               		     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 
  coarse-to-fine 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.

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7 pages; 570K compressed

e-mail: rao at cs.rochester.edu

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