A Bayesian Approach to Background Modeling

  title={A Bayesian Approach to Background Modeling},
  author={Oncel Tuzel and Fatih Murat Porikli and Peter Meer},
  journal={2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops},
Learning background statistics is an essential task for several visual surveillance applications such as incident detection and traf.c management. In this paper, we propose a new method for modeling background statistics of a dynamic scene. Each pixel is represented with layers of Gaussian distributions. Using recursive Bayesian learning, we estimate the probability distribution of mean and covariance of each Gaussian. The proposed algorithm preserves the multimodality of the background and… CONTINUE READING
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