• DocumentCode
    3164609
  • Title

    Moving object tracking system based on camshift and Kalman filter

  • Author

    Huang, Shengluan ; Hong, Jingxin

  • Author_Institution
    Comput. Sci. Dept., Xiamen Univ., Xiamen, China
  • fYear
    2011
  • fDate
    16-18 April 2011
  • Firstpage
    1423
  • Lastpage
    1426
  • Abstract
    To accomplish real-time tracking of moving objects requirements, and overcome the defect of occlusion in the process of tracking moving object, this paper presents a set of real-time tracking system. The tracking system uses a combination of camshift and kalman filter algorithm. When the moving object is a large area blocked, the velocity of moving object is applied linear prediction to kalman filter tracking. When the camera moves, we can quickly find the target in this tracking system. The experimental results show that : this system designed for tracking moving targets has good robustness.
  • Keywords
    Kalman filters; image motion analysis; object detection; object tracking; Kalman filter; camshift; linear prediction; moving object tracking system; real-time tracking; Algorithm design and analysis; Cameras; Kalman filters; Prediction algorithms; Robustness; Target tracking; camshift; kalman filter; occlusion; tracking system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
  • Conference_Location
    XianNing
  • Print_ISBN
    978-1-61284-458-9
  • Type

    conf

  • DOI
    10.1109/CECNET.2011.5769081
  • Filename
    5769081