• DocumentCode
    3318239
  • Title

    Object Contour Tracking Using the Optimization of the Number of Snake Points

  • Author

    Kim, Shin-Hyoung ; Alattar, Ashraf ; Jang, Jong Whan

  • Author_Institution
    Dept. of Inf. & Commun. Eng., PaiChai Univ., Daejeon
  • Volume
    2
  • fYear
    2006
  • fDate
    3-6 Nov. 2006
  • Firstpage
    1591
  • Lastpage
    1596
  • Abstract
    In this paper we address the problem by managing the insertion of new points and deletion of unnecessary points to better describe and track the object´s boundary. In particular, our method uses more points in highly curved parts of the contour, and fewer points in less curved parts. The proposed algorithm can successfully define the contour of the object, and can track the contour in complex images. Performance of the proposed algorithm has been verified with a set of experiments
  • Keywords
    feature extraction; image sequences; optimisation; stereo image processing; target tracking; object boundary; object contour tracking; snake point optimization; stereo image sequences; Active contours; Engineering management; Focusing; Image coding; Image converters; Image edge detection; Image sequences; Intelligent vehicles; Multimedia systems; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.295331
  • Filename
    4076237