• DocumentCode
    3042578
  • Title

    The DESO filter based on the template matching alogrithm

  • Author

    Li, Qijie ; Chang, Tianqing ; Jiao, Xuejun

  • Author_Institution
    Acad. of Armored Forces Eng., Beijing, China
  • fYear
    2012
  • fDate
    2-4 July 2012
  • Firstpage
    200
  • Lastpage
    202
  • Abstract
    A novel approved algorithm based on template matching is proposed. This algorithm is used to predict the movement of the target and track the target. By utilizing the DESO(Differential Extended State Observer) filter, it is possible to obtain the estimate position of the target in the current image. The template matching algorithm is used to search target around the estimation position. The simulation results of the algorithm are presented. The proposed algorithm demonstrates better performance characteristics than traditional template matching algorithm. Experimental results also demonstrate the effectiveness of this method. Through the simulation experiment, it can be seen that regardless of the goal of uniform motion or motion with variable velocity, DESO motion prediction based on the template matching algorithm can accurately predict the trajectory of the target, and does not depend on the target motion model. The use of DESO is simple, the transition time is short and the tracking performance is satisfying.
  • Keywords
    filtering theory; image matching; motion estimation; observers; target tracking; DESO filter; DESO motion prediction; differential extended state observer; estimation position; search target; target motion model; target tracking; template matching algorithm; tracking performance; transition time; Computational modeling; Filtering algorithms; Matched filters; Prediction algorithms; Real time systems; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2012 IEEE International Conference on
  • Conference_Location
    Tianjin
  • ISSN
    1944-9429
  • Print_ISBN
    978-1-4577-1758-1
  • Type

    conf

  • DOI
    10.1109/VECIMS.2012.6273194
  • Filename
    6273194