• DocumentCode
    2485487
  • Title

    A Fast and Self-adaptive Color Stereo Vision Matching; a first step for Roa Ostacle Detection

  • Author

    Cabani, Iyadh ; Toulminet, Gwenaelle ; Bensrhair, Abdelaziz

  • Author_Institution
    INSA de Rouen, Campus du Madrillet, Saint-Etienne-du-Rouvray
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    58
  • Lastpage
    63
  • Abstract
    In this article, we present a fast and self-adaptive color stereo vision matching algorithm which is a first step in the conception of a color stereo vision system for road obstacle detection. Our color matching approach associates vertical edges points using dynamic programming. Edges points are extracted using the operator color declivity. Performance of segmentation and matching are discussed. Experimental results are shown
  • Keywords
    dynamic programming; edge detection; image colour analysis; image matching; image segmentation; object detection; stereo image processing; traffic engineering computing; dynamic programming; edge extraction; operator color declivity; road obstacle detection; self-adaptive color stereo vision matching; Charge coupled devices; Charge-coupled image sensors; Color; Computer vision; Dynamic programming; Image segmentation; Pixel; Roads; Snow; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2006 IEEE
  • Conference_Location
    Tokyo
  • Print_ISBN
    4-901122-86-X
  • Type

    conf

  • DOI
    10.1109/IVS.2006.1689605
  • Filename
    1689605
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2485487