• DocumentCode
    3114279
  • Title

    A new target tracking method based on image patches

  • Author

    Nan Yao ; Zhong-Hua Liu ; Feng Qian

  • Author_Institution
    Dept. of Instrum. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • Volume
    02
  • fYear
    2013
  • fDate
    14-17 July 2013
  • Firstpage
    865
  • Lastpage
    870
  • Abstract
    Target representation has great influence on the results of object tracking algorithms. This paper presents a new approach for target representation that applies image patches extracted from image sequences to target detection phase. In this approach, the initial image frame is split into small image patches, which are quantized and clustered to form a texture dictionary. Instead of using the statistical characteristics of image pixels, we propose a new target representation method by using the texton histogram features. T hen, particle filter algorithm is used to complete the tracking procedure. Experimental results show that our method is rational and effective.
  • Keywords
    image representation; image sequences; object tracking; particle filtering (numerical methods); target tracking; histogram features; image patches; image pixels; image sequences; object tracking algorithms; particle filter algorithm; statistical characteristics; target detection phase; target representation; target tracking method; texture dictionary; Abstracts; Image segmentation; Target tracking; Yttrium; Image patches; Particle filter; Target representation; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Conference_Location
    Tianjin
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890405
  • Filename
    6890405