Robust camera motion estimation and classification for video analysis

@inproceedings{Chang2004RobustCM,
  title={Robust camera motion estimation and classification for video analysis},
  author={Hung-Chang Chang and Shang-Hong Lai},
  booktitle={IS&T/SPIE Electronic Imaging},
  year={2004}
}
  • Hung-Chang Chang, Shang-Hong Lai
  • Published in IS&T/SPIE Electronic Imaging 2004
  • Computer Science, Engineering
  • Camera motion estimation is very important for indexing and retrieving video information. In this paper, we propose a robust camera motion estimation and classification algorithm. Our camera motion estimation algorithm consists of optical flow estimation, iterative RANSAC (RANdom SAmple Consensus) multiple motion estimation, and long-term camera motion estimation through a shortest-path search. In this approach, we first estimate multiple global affine motions from the computed optical flow… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-3 OF 3 CITATIONS

    Dependent Motion Segmentation in Moving Camera Videos: A Survey

    VIEW 4 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    Camera motion filtering and its applications

    • Jiang Gao
    • Computer Science
    • 2008 19th International Conference on Pattern Recognition
    • 2008
    VIEW 1 EXCERPT
    CITES METHODS

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 11 REFERENCES

    Efficient camera motion characterization for MPEG video indexing

    Video shot detection and analysis: Content-based approaches

    • Q. Tian, H. J. Zhang
    • 1999
    VIEW 1 EXCERPT