• DocumentCode
    2937841
  • Title

    An Improved Image Matching Target Tracking Algorithm

  • Author

    Xin, Ge ; Hong, Xie ; Yuan, Liu

  • Author_Institution
    Coll. of Inf. Eng., Jiangnan Univ., Wu Xi, China
  • fYear
    2009
  • fDate
    18-20 Sept. 2009
  • Firstpage
    37
  • Lastpage
    40
  • Abstract
    The idea of the adaptive image matching tracking algorithm, then with position estimation and image template renewal and could effectively cope with complicated nonlinear and non-Gaussian problems. The adaptive image matching target tracking algorithm base on the matching tracking is presented and the performance of the algorithm is analyzed. The results show that Adaptive particle tracking algorithm inherited the relevant practical tracking visual characteristics, the part occlusion is effectively solved and higher stability of the match tracking.
  • Keywords
    image matching; target tracking; adaptive image matching target tracking algorithm; adaptive particle tracking algorithm; image template renewal; nonGaussian problems; nonlinear problems; Educational institutions; Image matching; Image sequences; Military computing; Nonlinear distortion; Nonlinear dynamical systems; Particle tracking; Predictive models; State estimation; Target tracking; adaptive matching tracking; hausdorff distance; image matching; particle estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Applications Conference, 2009. WISA 2009. Sixth
  • Conference_Location
    Xuzhou, Jiangsu
  • Print_ISBN
    978-0-7695-3874-7
  • Type

    conf

  • DOI
    10.1109/WISA.2009.27
  • Filename
    5370605