• DocumentCode
    3424572
  • Title

    An active contour model using image flow for tracking a moving object

  • Author

    Kim, Won ; Hong, Sun-Gi ; Lee, Ju-Jang

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    216
  • Abstract
    An active contour model was developed as a useful segmenting and tracking tool for rigid or nonrigid objects. Snake, one of the active contour models (ACMs), is designed on the basis of Snake energies. Segmenting and tracking can be executed successfully by the process of energy minimization. The ability to contract is a important process for segmenting objects from images, but the contraction forces of Kass´ Snake are dependent on the object´s form. In this research, new contraction energy, independent of the object´s form, is proposed for the segmentation. Kass´ Snake can be applied to the case of small changes between two images because its solutions can be obtained from the basis of variational approach. Furthermore considering the case that the motion is too large to apply image flow energy to tracking. A jump mode was proposed for solving the problem
  • Keywords
    active vision; image segmentation; image sequences; minimisation; Snake; active contour model; contraction energy; energy minimization; image flow; jump mode; moving object tracking; Active contours; Contracts; Energy states; Equations; Image segmentation; Information geometry; Machine vision; Minimization methods; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 1999. IROS '99. Proceedings. 1999 IEEE/RSJ International Conference on
  • Conference_Location
    Kyongju
  • Print_ISBN
    0-7803-5184-3
  • Type

    conf

  • DOI
    10.1109/IROS.1999.813007
  • Filename
    813007