A re-evaluation of mixture of Gaussian background modeling [video signal processing applications]

@article{Wang2005ARO,
  title={A re-evaluation of mixture of Gaussian background modeling [video signal processing applications]},
  author={Hanzi Wang and David Suter},
  journal={Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.},
  year={2005},
  volume={2},
  pages={ii/1017-ii/1020 Vol. 2}
}
The mixture of Gaussians (MOG) has been widely used for robustly modeling complicated backgrounds, especially those with small repetitive movements (such as leaves, bushes, rotating fan, ocean waves, rain). The performance of MOG can be greatly improved by tackling several practical issues. In this paper, we quantitatively evaluate (using the Wallflower benchmarks) the performance of the MOG with and without our modifications. The experimental results show that the MOG, with our modifications… CONTINUE READING
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