Bayesian foreground segmentation and tracking using pixel-wise background model and region based foreground model

@article{Gallego2009BayesianFS,
  title={Bayesian foreground segmentation and tracking using pixel-wise background model and region based foreground model},
  author={Jaime Gallego and Montse Pard{\`a}s and Gloria Haro},
  journal={2009 16th IEEE International Conference on Image Processing (ICIP)},
  year={2009},
  pages={3205-3208}
}
In this paper we present a segmentation system for monocular video sequences with static camera that aims at foreground/background separation and tracking. We propose to combine a simple pixel-wise model for the background with a general purpose region based model for the foreground. The background is modeled using one Gaussian per pixel, thus achieving a precise and easy to update model. The foreground is modeled using a Gaussian mixture model with feature vectors consisting of the spatial (x… CONTINUE READING

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