• DocumentCode
    1885794
  • Title

    A foveal vision based approach to ATR

  • Author

    Zhou, Y.T. ; Hecht-Nielsen, R.

  • Author_Institution
    HNC Software Inc., San Diego, CA, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    31 Oct-2 Nov 1994
  • Firstpage
    874
  • Abstract
    Unlike traditional automatic target recognition (ATR) approaches, the foveal vision based approach uses a foveated sensor to dynamically allocate visual resolution spatially and temporally to objects relevant to the task. It mimics human eye movements to find “attractive” regions quickly and accurately. A software demonstration system has been built based on the foveal vision approach and tested on a variety of sensor data including TV, infrared (IR), and laser radar (LADAR). Test results indicated that the foveal vision based approach not only supports a decrease of several orders of magnitude in the amount of data processing but also provides an increased ability to discriminate targets
  • Keywords
    computer vision; eye; feedforward neural nets; image resolution; image sampling; military computing; military systems; multilayer perceptrons; radar target recognition; ATR; IR; TV; automatic target recognition; data processing; foveal vision; foveated sensor; human eye movements; infrared; laser radar; military system; sensor data; software demonstration system; targets discrimination; visual resolution; Humans; Infrared sensors; Laser radar; Sensor systems; Software systems; Software testing; Spatial resolution; System testing; TV; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-6405-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.1994.471586
  • Filename
    471586