• DocumentCode
    2639112
  • Title

    Long-time video stabilization using point-feature trajectory smoothing

  • Author

    Ryu, Yeon Geol ; Roh, Hyun Chul ; Chung, Myung Jin

  • Author_Institution
    Dept. of Electr. Eng., KAIST, Daejeon, South Korea
  • fYear
    2011
  • fDate
    9-12 Jan. 2011
  • Firstpage
    189
  • Lastpage
    190
  • Abstract
    This paper presents a new video stabilization algorithm for digital video cameras. The proposed technique directly estimates correction motion through point-feature trajectories, so that our method can be free from the error accumulation as time goes on. Furthermore, an adaptive RANSAC is proposed to estimate a robust correction motion. Experimental results show that the proposed algorithm can robustly stabilize very long videos in the end.
  • Keywords
    motion estimation; smoothing methods; video cameras; video signal processing; adaptive RANSAC; correction motion estimation; digital video cameras; long-time video stabilization; point-feature trajectory smoothing; Cameras; Estimation; Robustness; Smoothing methods; Tracking; Trajectory; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2011 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    2158-3994
  • Print_ISBN
    978-1-4244-8711-0
  • Type

    conf

  • DOI
    10.1109/ICCE.2011.5722532
  • Filename
    5722532