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PRL
2006

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

10 years 4 months ago
Efficient adaptive density estimation per image pixel for the task of background subtraction
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.
Zoran Zivkovic, Ferdinand van der Heijden
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where PRL
Authors Zoran Zivkovic, Ferdinand van der Heijden
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