Region-based Mixture of Gaussians modelling for foreground detection in dynamic scenes

@article{Varadarajan2015RegionbasedMO,
  title={Region-based Mixture of Gaussians modelling for foreground detection in dynamic scenes},
  author={Sriram Varadarajan and Paul C. Miller and Huiyu Zhou},
  journal={Pattern Recognition},
  year={2015},
  volume={48},
  pages={3488-3503}
}
One of the most widely used techniques in computer vision for foreground detection is to model each background pixel as a Mixture of Gaussians (MoG). While this is effective for a static camera with a fixed or a slowly varying background, it fails to handle any fast, dynamic movement in the background. In this paper, we propose a generalised framework, called regionbased MoG (RMoG), that takes into consideration neighbouring pixels while generating the model of the observed scene. The model… CONTINUE READING
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