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Regularized online Mixture of Gaussians for background subtraction
2011
2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
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Mixture of Gaussians (MoG) modelling [13] is a popular approach to background subtraction in video sequences. Although the algorithm shows good empirical performance, it lacks theoretical justification. In this paper, we give a justification for it from an online stochastic expectation maximization (EM) viewpoint and extend it to a general framework of regularized online classification EM for MoG with guaranteed convergence. By choosing a special regularization function, l 1 norm, we derived a
doi:10.1109/avss.2011.6027331
dblp:conf/avss/WangM11
fatcat:cqyhizp4rzamfaueak4krqbdg4