• DocumentCode
    2425174
  • Title

    Fast electronic digital image stabilization

  • Author

    Morimoto, Carlos ; Chellappa, Rama

  • Author_Institution
    Comput. Vision Lab., Maryland Univ., College Park, MD, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    284
  • Abstract
    We present a fast implementation of an electronic digital image stabilization system that is able to handle large image displacements. The system has been implemented in a parallel pipeline image processing hardware (Datacube Max Video 200) connected to a SUN SPARCstation 20/612. Our technique is based on a 2D feature-based multi-resolution motion estimation algorithm, that tracks a small set of features to estimate the motion of the camera. The combination of the estimates from a reference frame is used to warp the current frame in order to achieve stabilization. Experimental results using video sequences taken from a camera mounted on a moving vehicle demonstrate the robustness of the system when processing 15 frames per second
  • Keywords
    image sequences; motion estimation; pipeline processing; video signal processing; 2D feature-based multi-resolution motion estimation algorithm; Datacube Max Video 200; SUN SPARCstation 20/612; fast electronic digital image stabilization; parallel pipeline image processing hardware; video sequences; Cameras; Digital images; Hardware; Image processing; Motion estimation; Pipelines; Sun; Tracking; Vehicles; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546956
  • Filename
    546956