• DocumentCode
    3199836
  • Title

    Target Tracking Using Mean Shift and Dynamic Directional Gradient Vector Flow

  • Author

    Babaeean, Amir ; Tashk, Alireza Bayesteh ; Barzin, Farzad ; Hosseini, Seyed Mohsen

  • Author_Institution
    Amirkabir Univ. of Technol., Tehran
  • fYear
    2008
  • fDate
    16-18 March 2008
  • Firstpage
    366
  • Lastpage
    370
  • Abstract
    In this paper, a new method for contour tracking of mobile target in low quality video sequence 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. Estimating motion model of the target uses color and location information together. This information would cause our method not to be sensitive of aspect change. Our method is compared with two other methods: tracking via simple active contour and estimating motion model by using affine transform. Experimental results illustrate our method to outperform the prior ones.
  • Keywords
    affine transforms; gradient methods; image sequences; motion estimation; target tracking; affine transform; dynamic directional gradient vector flow; low quality video sequence; mean shift; mobile target contour tracking; motion estimation; target tracking; Active contours; Automotive engineering; Cameras; Face detection; Histograms; Humans; Motion estimation; Target tracking; Vehicle dynamics; Video sequences; Contour Tracking; DDGVF Model; Mean Shift;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2008. SSST 2008. 40th Southeastern Symposium on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0094-2898
  • Print_ISBN
    978-1-4244-1806-0
  • Electronic_ISBN
    0094-2898
  • Type

    conf

  • DOI
    10.1109/SSST.2008.4480256
  • Filename
    4480256