• DocumentCode
    1860948
  • Title

    Tracking through changes in scale

  • Author

    Lankton, Shawn ; Malcolm, James ; Nakhmani, Arie ; Tannenbaum, Allen

  • Author_Institution
    Georgia Inst. of Technol., Atlanta, GA
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    241
  • Lastpage
    244
  • Abstract
    We propose a tracking system that is especially well-suited to tracking targets which change drastically in size or appearance. To accomplish this, we employ a fast, two phase template matching algorithm along with a periodic template update method. The template matching step ensures accurate localization while the template update scheme allows the target model to change over time along with the appearance of the target. Furthermore, the algorithm can deliver real-time results even when targets are very large. We demonstrate the proposed method with good results on several sequences showing targets which exhibit large changes in size, shape, and appearance.
  • Keywords
    image matching; image registration; image sequences; target tracking; image registration; image sequence; periodic template update method; target tracking; template matching algorithm; template matching step; Bandwidth; Cameras; Histograms; Kernel; Parameter estimation; Robustness; Shape; Target tracking; Video sequences; Object tracking; registration; scale space; template update;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4711736
  • Filename
    4711736