• DocumentCode
    2586898
  • Title

    Marching Pixels - Using Organic Computing Principles in Embedded Parallel Hardware

  • Author

    Komann, Marcus ; Fey, Dietmar

  • Author_Institution
    Inst. for Comput. Sci., Friedrich-Schiller-Univ., Jena
  • fYear
    2006
  • fDate
    13-17 Sept. 2006
  • Firstpage
    369
  • Lastpage
    373
  • Abstract
    We present an organic computing approach for very fast image processing, which we call marching pixels (MPs). Using an embedded massively-parallel array of processor elements (PEs) MPs exploit emergent algorithms in order to solve difficult tasks. They are data packets residing in specific PEs and can be seen as virtual organisms, which are born, move, unite, are mutated, leave signatures on the ground, and die on the processor field. MPs algorithms feature the desired self-x attributes and have the abilities to make image processing in a smart CMOS camera robust and fast enough. An example algorithm for object detection is outlined and evaluated concerning complexity and effectiveness
  • Keywords
    computational complexity; embedded systems; image recognition; image resolution; object detection; object recognition; parallel processing; computational complexity; data packet; embedded parallel hardware; embedded parallel processor element array; image processing; marching pixel; object detection algorithm; organic computing principle; smart CMOS camera; virtual organism; CMOS image sensors; CMOS process; Concurrent computing; Embedded computing; Hardware; Image processing; Organisms; Pixel; Robustness; Smart cameras;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Computing in Electrical Engineering, 2006. PAR ELEC 2006. International Symposium on
  • Conference_Location
    Bialystok
  • Print_ISBN
    0-7695-2554-7
  • Type

    conf

  • DOI
    10.1109/PARELEC.2006.52
  • Filename
    1698689