• DocumentCode
    3120844
  • Title

    Hausdorff distance for template detection and efficient implementation on embedded systems

  • Author

    Petracca, Gaetano ; Leoncini, Alessio ; Sangiacomo, Fabio ; Zunino, Rodolfo

  • Author_Institution
    Dept. of Biophys. & Electron. Eng. (DIBE), Univ. of Genoa, Genoa, Italy
  • fYear
    2010
  • fDate
    4-7 July 2010
  • Firstpage
    1623
  • Lastpage
    1626
  • Abstract
    Template selection is often a crucial task for target-detection methods; the Hausdorff distance enhances template matching by implicitly encoding the notion of resemblance. The template-matching technique proposed fits embedded electronic systems for the real-time analysis of visual scenes. Practical implementations demonstrate the approach effectiveness by means of comparative tests on several DSP-based embedded platforms.
  • Keywords
    embedded systems; image matching; object detection; video surveillance; DSP-based embedded platforms; Hausdorff distance; target-detection methods; template detection; template-matching technique; Digital signal processing; Image edge detection; Industrial electronics; Manganese; Pixel; Shape; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2010 IEEE International Symposium on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4244-6390-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2010.5637569
  • Filename
    5637569