• DocumentCode
    317943
  • Title

    A biologically inspired connectionist architecture for directing attention to salient visual field objects

  • Author

    Enke, David

  • Author_Institution
    Smart Eng. Syst. Lab., Missouri Univ., Rolla, MO, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    999
  • Abstract
    In an attempt to incorporate basic visual attention abilities into existing artificial vision systems, a neural model of the bidirectional interactions within and between the brain regions believed to be involved in human visual attention has been developed. This model currently gives an artificial vision system the ability to attend to “salient”, or “pop-out” features and objects within the vision system´s field of view. After a review of the physiology of human visual attention, a network model of the aforementioned neural interactions is presented, followed by a demonstration of its performance
  • Keywords
    computer vision; neural net architecture; physiological models; attention; bidirectional interactions; machine vision; neural model; neural net architecture; salient visual field objects; Brain modeling; Filtering; Humans; Image color analysis; Machine vision; Modems; Neurons; Physiology; Research and development management; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.638078
  • Filename
    638078