• DocumentCode
    1958890
  • Title

    Object tracking using adaptive color Snake model

  • Author

    Seo, Kap-Ho ; Lee, Ju-Jang

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • Volume
    2
  • fYear
    2003
  • fDate
    20-24 July 2003
  • Firstpage
    1406
  • Abstract
    An active contour model, Snake, was developed as a useful segmenting and tracking tool for rigid or non-rigid objects by Kass in 1987. Snake is designed on the basis of Snake energies. Segmenting and tracking can be executed successfully by the process of energy minimization. In this paper, a novel scheme for object contour extraction and object tracking is proposed. By designing the snake which uses information about the gradient magnitude and color, our approach provides the improvement of the capability to detect the desired color object without any preprocessing. The essential idea is to design the snake node to track the color adaptively.
  • Keywords
    face recognition; feature extraction; image colour analysis; image segmentation; object detection; tracking; adaptive color snake model; color object; energy minimization; nonrigid objects; object contour extraction; object tracking; rigid objects; snake energies; snake node; tracking tool; Active contours; Color; Data mining; Face detection; Face recognition; Facial features; Humans; Image edge detection; Image recognition; Image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 2003. AIM 2003. Proceedings. 2003 IEEE/ASME International Conference on
  • Print_ISBN
    0-7803-7759-1
  • Type

    conf

  • DOI
    10.1109/AIM.2003.1225549
  • Filename
    1225549