• DocumentCode
    1693182
  • Title

    Kernel based multiple targets tracking

  • Author

    Wang, Yongzhong ; Pan, Quan ; Liang, Yan

  • Author_Institution
    Sch. of Autom., Hangzhou Dianzi Univ., Hangzhou, China
  • fYear
    2010
  • Firstpage
    6114
  • Lastpage
    6120
  • Abstract
    In multiple targets tracking, the split, mergence or occlusion of objects will deteriorate the tracking performance, so a multiple targets tracking method based on kernel is proposed. Making use of the defined matching measurement rule, a matching matrix is constructed according to the detection results based on a Gaussian mixture model and the kernel-based tracking results, and then the spilt and merging operation is completed to realize tracking target initialization, deletion, split, merging and occlusion. The experimental results show that the proposed method can reliably track multiple targets under occlusion in real time.
  • Keywords
    Gaussian processes; image matching; matrix algebra; target tracking; Gaussian mixture model; kernel based multiple targets tracking; matching matrix; matching measurement rule; spilt and merging operation; Automation; Educational institutions; Intelligent control; Kernel; Merging; Target tracking; Visualization; kernel-based tracking; merge; multiple targets; split;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554660
  • Filename
    5554660