• DocumentCode
    498443
  • Title

    An Effective Target Tracking Method

  • Author

    Shen, Mei-Li

  • Author_Institution
    Sch. of Sci., Qingdao Technol. Univ., Qingdao, China
  • Volume
    1
  • fYear
    2009
  • fDate
    22-24 May 2009
  • Firstpage
    499
  • Lastpage
    502
  • Abstract
    Target tracking system has important application in military and civilian. In it, speed and accuracy are two important evaluations indicators. Harris algorithm is used to extract little part of target corner features which can improve this method´s speed. Then, the proposed method uses optic flow method which has high matching accuracy to match those extracted corner features in the following video frames. However, when the tracked target is rotated or transformation, the distributing of matched feature point is changed and target is easily lost. In order to overcome this shortcoming, bary algorithm is used to compute the bary of those matched features as displacement of target. It is proved by experiments that this method has not only high speed and tracking accuracy but also higher robustness to target rotation, transformation, shelter etc.
  • Keywords
    feature extraction; image matching; target tracking; video signal processing; matched feature point distribution; optic flow method; target corner feature extraction; target tracking method; target tracking system; video frames; Data mining; Feature extraction; Filters; High speed optical techniques; Image motion analysis; Image recognition; Pixel; Robustness; Target recognition; Target tracking; bary method; corner feature; optic flow matching; target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3643-9
  • Type

    conf

  • DOI
    10.1109/ISECS.2009.96
  • Filename
    5209694