Efficient adaptive density estimation per image pixel for the task of background subtraction

Authors:
Zoran Zivkovic;Ferdinand van der Heijden
Affiliations:
Faculty of Science, University of Amsterdam, Kruislaan 403, 1098SJ Amsterdam, The Netherlands;University of Twente, P.O. Box 217, 7500AE Enschede, The Netherlands
Venue:
Pattern Recognition Letters
Year:
2006

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Abstract

We analyze the computer vision task of pixel-level background subtraction. We present recursive equations that are used to constantly update the parameters of a Gaussian mixture model and to simultaneously select the appropriate number of components for each pixel. We also present a simple non-parametric adaptive density estimation method. The two methods are compared with each other and with some previously proposed algorithms.