Regularised region-based Mixture of Gaussians for dynamic background modelling

@article{Varadarajan2014RegularisedRM,
  title={Regularised region-based Mixture of Gaussians for dynamic background modelling},
  author={Sriram Varadarajan and Hongbin Wang and Paul C. Miller and Huiyu Zhou},
  journal={2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
  year={2014},
  pages={19-24}
}
This paper introduces a momentum-like regularisation term for the region-based Mixture of Gaussians framework. Momentum term has long been used in machine learning, especially in backpropagation algorithms to improve the speed of convergence and subsequently their performance. Here, we prove the convergence of the online gradient method with a momentum term and apply it to background modelling by using it in the update equations of the region-based Mixture of Gaussians algorithm. It is then… CONTINUE READING
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Regularised region-based mixture of gaussians for dynamic background modelling

  • S. Varadarajan, H. Wang, P. Miller, H. Zhou
  • in: 2014 11th IEEE International Conference on…
  • 2014
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