Video background modeling: recent approaches, issues and our proposed techniques

@article{Shah2013VideoBM,
  title={Video background modeling: recent approaches, issues and our proposed techniques},
  author={Munir Shah and Jeremiah D. Deng and Brendon J. Woodford},
  journal={Machine Vision and Applications},
  year={2013},
  volume={25},
  pages={1105-1119}
}
Effective and efficient background subtraction is important to a number of computer vision tasks. We introduce several new techniques to address key challenges for background modeling using a Gaussian mixture model (GMM) for moving objects detection in a video acquired by a static camera. The novel features of our proposed model are that it automatically learns dynamics of a scene and adapts its parameters accordingly, suppresses ghosts in the foreground mask using a SURF features matching… CONTINUE READING
Highly Cited
This paper has 36 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 24 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 48 references

Statistical Background Modeling for Foreground Detection: A Survey, pp

  • T. Bouwmans, F. E. Baf, B. Vachon
  • 181–199. World Scientific Publishing, Singapore
  • 2010
Highly Influential
8 Excerpts

Similar Papers

Loading similar papers…