• DocumentCode
    1676760
  • Title

    Researches of scale adaptive Mean Shift target tracking algorithm

  • Author

    Tian, Cunwei ; Ge, Guangying ; Ye, Shuxiang ; Bao, Xinzong

  • Author_Institution
    Sch. of Phys. Sci. & Inf. Eng., Liaocheng Univ., Liaocheng, China
  • fYear
    2010
  • Firstpage
    700
  • Lastpage
    703
  • Abstract
    Fuzzy Threshold Segmentation has been used for target tracking to improve deficiency that the bandwidth of kernel function of Mean Shift is not changeable. The weight of gradation transformation is ascertained by the contrast of similarity of RGB component between the target and background. According to certain rules,the bandwidth of kernel function is corrected with the statistic of target pixels. The scale adaptive of track window has been realized. Experiment results show the new algorithm can track objects accurately, effectively and real time. The new algorithm also overcomes the limitations of the traditional one.
  • Keywords
    fuzzy set theory; image colour analysis; image segmentation; target tracking; RGB component; fuzzy threshold segmentation; gradation transformation; kernel function; scale adaptive mean shift algorithm; target pixels; target tracking; Automation; Computer vision; Intelligent control; Kernel; Manganese; Pattern recognition; Target tracking; Fuzzy Threshold Segmentation; Mean Shift; Scale adaptation; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554032
  • Filename
    5554032