• DocumentCode
    1849183
  • Title

    Tracking multi objects with different size based on data association

  • Author

    Xue Tingting ; Wang Yanjiang ; Yujuan Qi

  • Author_Institution
    Coll. of Inf. & Control Eng., China Univ. of Pet. (East China), Qingdao, China
  • Volume
    2
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    1123
  • Lastpage
    1126
  • Abstract
    In this paper, a recursive multiple objects tracking method based on data association is proposed. Firstly, an adaptive tracking window is designed for the scale changes of the object in motion scene. Then a data association method is proposed for multi-object tracking. The tracking window and the observation data of the same object at different time as well as the different objects at the same time are all associated to achieve robust tracking of the objects with different number and size. Experimental results show that the proposed multi-object tracking mechanism can deal with complicated situations such as object occlusion, merging, separating, appearing and disappearing.
  • Keywords
    image motion analysis; target tracking; adaptive tracking window; data association method; motion scene; multiobject tracking mechanism; object occlusion; observation data; recursive multiple objects tracking method; robust tracking; tracking multiobjects; adptive tracking window; data association; multi-object tracking; particle filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491775
  • Filename
    6491775