• DocumentCode
    2141603
  • Title

    A New Approach for the Camera Motion Extraction from Texture Images with Spatio-Temporal Slice Analysis

  • Author

    Liu Xiaomin

  • Author_Institution
    Signal & Inf. Process. Lab. of Beijing, Beijing Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It is difficult to extract the motion information between the camera and the object surface with the model matching or the optical flow method when there is only texture structure on the object surface for observing. Arranging the spatio-temporal images with the time order and cutting the images array along a row or a column, a spatio-temporal slice image appears. Different camera motion reaches different slice image and the camera motion information can be extracted by analyzing this kind of slice images. Differ from the common spatio-temporal slice analysis methods, a measurement parameter to describe the texture elements distribute density is present in this paper. Camera motion information can be extracted by analyzing this parameter in spatio-temporal slices of different positions.
  • Keywords
    feature extraction; image matching; image motion analysis; image sequences; image texture; spatiotemporal phenomena; video cameras; video signal processing; camera motion extraction approach; image texture structure; measurement parameter; model matching; object surface; optical flow method; spatio-temporal slice analysis; texture element distribute density; video frames; Cameras; Data mining; Density measurement; Image analysis; Image motion analysis; Image texture analysis; Information analysis; Motion analysis; Robot vision systems; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5303583
  • Filename
    5303583