• DocumentCode
    2924071
  • Title

    A Combined Pca/Snake Model for Precise Object Contour Extraction

  • Author

    Li, C.M. ; Li, Y.S. ; Zhang, D.P. ; Liu, Y.

  • Author_Institution
    Xidian Univ., Xian
  • fYear
    2006
  • fDate
    24-26 July 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An extended PCA algorithm to extract moving objects is presented in this paper. In the algorithm, three frames are sufficient for the extraction of for rigid or non-rigid objects. In order to obtain a precise contour of moving object, a snake model is adopted to process the object detection results. In our experiments, a range of image sequences is used to test the combined PCAsnake model. The results show that the proposed algorithm can extract the moving objects accurately and its speed is improved over the conventional PCA model.
  • Keywords
    image segmentation; image sequences; object detection; principal component analysis; extended PCA algorithm; image segmentation; image sequence; object contour extraction; object detection; principal component analysis; snake model; Automation; Feature extraction; Image processing; Image segmentation; Image sequences; Independent component analysis; Object detection; Principal component analysis; Shape; Testing; Contour Extraction; Eigen-object; Moving Object; PCA; Snake Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2006. WAC '06. World
  • Conference_Location
    Budapest
  • Print_ISBN
    1-889335-33-9
  • Type

    conf

  • DOI
    10.1109/WAC.2006.375741
  • Filename
    4259814