• DocumentCode
    1578775
  • Title

    Digital Video Stabilization Algorithm for CMOS Image Sensor

  • Author

    Jeong-A Im ; Dae-Woong Kim ; Ki-Sang Hong

  • Author_Institution
    Dept. of Electr. Eng., POSTECH, Pohang, South Korea
  • fYear
    2006
  • Firstpage
    3261
  • Lastpage
    3264
  • Abstract
    This paper presents a novel motion compensation approach for stabilizing video sequences captured by CMOS image sensors. Although a number of papers have been dedicated to the compensation of shaky camera motions, most of them have focused on CCD image sensors. By relating the homography model to the characteristics of CMOS video sequences, we estimated the dominant motion in image sequences degraded by random shake, simultaneously estimating the distortion parameters of CMOS image sensors. Also, we considered the real-time applications with a fast linear-programming approach for the estimation of camera motion.
  • Keywords
    CMOS image sensors; distortion; image sequences; linear programming; motion compensation; motion estimation; video cameras; video signal processing; CMOS image sensor; digital video stabilization algorithm; distortion parameter estimation; homography-based motion model; image sequences; linear-programming approach; motion compensation; shaky camera motion estimation; video sequences; CMOS image sensors; Cameras; Charge-coupled image sensors; Degradation; Image sequences; Motion compensation; Motion estimation; Parameter estimation; Semiconductor device modeling; Video sequences; CCD; CMOS; Digital video stabilization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312919
  • Filename
    4107266