• DocumentCode
    3403611
  • Title

    Research of the Improved Camshift Tracking Algorithm

  • Author

    Liu, Xia ; Chu, Hongxia ; Li, Pingjun

  • Author_Institution
    Harbin Eng. Univ, Harbin
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    968
  • Lastpage
    972
  • Abstract
    In this paper it will introduce the improved Camshift algorithm based on the Kalman filter, which is applied to track a moving target. Improved Camshift algorithm is a algorithm that H, S and V components space is used to track a moving target in HSV space. The next position of the moving object is estimated by the Kalman. According to H and S and V, it can be appropriate to determine the track of moving target. The algorithm effectively overcomes the shortcoming of the traditional Camshift algorithm. For example, it is easy to solve the divergence problem during the tracking. Finally, the usefulness of algorithm is validated by experiment.
  • Keywords
    Kalman filters; filtering theory; target tracking; Camshift tracking algorithm; Kalman filter; divergence problem; Automation; Computer science; Educational institutions; Image processing; Kalman filters; Mechatronics; Noise measurement; Predictive models; Space technology; Target tracking; Camshift algorithm; HSV space; Moving target;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2007. ICMA 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0828-3
  • Electronic_ISBN
    978-1-4244-0828-3
  • Type

    conf

  • DOI
    10.1109/ICMA.2007.4303678
  • Filename
    4303678