• DocumentCode
    3064774
  • Title

    Modify kernel tracking using an efficient color model and active contour

  • Author

    Babaeian, Amir ; Rastegar, Saeed ; Bandarabadi, Mojtaba ; Erza, Mehran

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
  • fYear
    2009
  • fDate
    15-17 March 2009
  • Firstpage
    59
  • Lastpage
    63
  • Abstract
    In this paper, a new method for contour tracking of mobile target in video sequences is presented. Proposed method helps to track variety of targets exactly while the camera is moving. In this study, a new type of active contour is used with a way for estimating motion model of the target. The novelty of this paper comes from using a new color to gray level transform instead of conventional counterpart. Estimating motion model of the target uses color and location information together. This information helps the proposed method to be robust against the aspect change. Our method is compared with two other methods: tracking via single active contour and estimating motion model by using affine transform. Experimental results illustrate our method to outperform the prior ones.
  • Keywords
    image colour analysis; motion estimation; video signal processing; active contour; color model; color-to-gray level transform; contour tracking; kernel tracking; motion estimation; video sequences; Active contours; Cameras; Face detection; Histograms; Humans; Kernel; Motion estimation; Space technology; Target tracking; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2009. SSST 2009. 41st Southeastern Symposium on
  • Conference_Location
    Tullahoma, TN
  • ISSN
    0094-2898
  • Print_ISBN
    978-1-4244-3324-7
  • Electronic_ISBN
    0094-2898
  • Type

    conf

  • DOI
    10.1109/SSST.2009.4806821
  • Filename
    4806821