• DocumentCode
    1837757
  • Title

    Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system

  • Author

    Fulop, T. ; Zarandy, A.

  • Author_Institution
    Pazmany Peter Catholic Univ., Budapest, Hungary
  • fYear
    2010
  • fDate
    3-5 Feb. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Bio-inspired approaching object detection algorithms have been proposed since Shea, Rowell and Williams found the approaching object detection retinal circuitry of Locusta Migratoria in 1974. Recently, Botond Roska´s group identified a looming sensitive circuit in mammalian retina. The newly discovered retina circuit is based on local interaction, therefore, this new discovery enables the development of efficient looming object detection algorithms for topographic kiloprocessor chips. This paper presents the bases of the new model and shows the implementation on Eye-RIS sensor-processor device.
  • Keywords
    focal planes; image recognition; image sensors; microprocessor chips; object detection; Botond Roska group; Eye-RIS sensor processor device; Locusta Migratoria; bioinspired looming object detector algorithm; eye-Ris focal plane processor system; looming sensitive circuit; mammalian retina; retinal circuitry; topographic kiloprocessor chips; Cellular networks; Circuits; Computer networks; Detectors; Fluorescence; Neurons; Nonlinear filters; Object detection; Object segmentation; Retina; Eye-RIS; Looming object detection; approaching object detection; bio-inspired algorithm; focal plane-processor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-1-4244-6679-5
  • Type

    conf

  • DOI
    10.1109/CNNA.2010.5430290
  • Filename
    5430290