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

  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},
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
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Statistical Background Modeling for Foreground Detection: A Survey, pp

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