• DocumentCode
    953260
  • Title

    A micropower centroiding vision processor

  • Author

    Constandinou, Timothy G. ; Toumazou, Christofer

  • Author_Institution
    Inst. of Biomed. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    41
  • Issue
    6
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    1430
  • Lastpage
    1443
  • Abstract
    A biologically-inspired hybrid vision chip is presented for real-time object-based processing for tasks such as centroiding, sizing and counting of enclosed objects. This system presents the first silicon retina capable of centroiding and sizing multiple objects in true parallel fashion. Based on a novel distributed algorithm, this approach uses the input image to enclose a feedback loop to realize a data-driven pulsating action. The sensor provides a resolution of 48 × 48 pixels with a 85 μm×85 μm pixel footprint and has been measured to consume 243 μW at 1.8-V supply, achieving an equivalent computational efficiency of 724.64 MIPS/mW with a 500-μs process time.
  • Keywords
    CMOS image sensors; distributed algorithms; object detection; parallel processing; 1.8 V; 2304 pixels; 243 muW; 48 pixels; 500 mus; CMOS image sensor; biologically-inspired hybrid vision chip; centroiding; distributed algorithm; feedback loop; focal plane processing; object detection; parallel processing; real-time object-based processing; Cellular neural networks; Computational efficiency; Distributed algorithms; Filtering; Image processing; Object detection; Object segmentation; Retina; Silicon; Target tracking; CMOS image sensor; Centroiding; distributed algorithm; focal plane processing; micropower; object detection; parallel processing; silicon retina; target tracking; vision chip;
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/JSSC.2006.874330
  • Filename
    1637607