• DocumentCode
    3426730
  • Title

    Condensation tracking through a Hough space

  • Author

    French, Andrew ; Mills, Steven ; Pridmore, Tony

  • Author_Institution
    Sch. of Comput. Sci. & IT, Nottingham Univ., UK
  • Volume
    4
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    195
  • Abstract
    Recent work has shown tracking groups of lines through the parameter space represented by a Hough accumulator array to be efficient and insensitive to both occlusion and changes in illumination. Previous methods have, however, been less robust in the presence of distractions are a challenge to trackers of all types, but the problem is heightened in the Hough-based approach as short collinear segments give the same response as an equal length connected line. We describe the application of the condensation algorithm to tracking peaks through a Hough accumulator array, producing a tracking technique that is efficient and robust under illumination changes, occlusion and distractions.
  • Keywords
    Hough transforms; computer graphics; object detection; Hough accumulator array; Hough space; collinear segments; condensation tracking; distractions; illumination; object tracking; occlusion; Computer science; Computer vision; Image segmentation; Image sequences; Lighting; Milling machines; Motion estimation; Object detection; Optical computing; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1333737
  • Filename
    1333737