Portal de Periódicos da CAPES

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

2006; Elsevier BV; Volume: 27; Issue: 7 Linguagem: Inglês

10.1016/j.patrec.2005.11.005

1872-7344

Zoran Živković, Ferdinand van der Heijden,

Remote-Sensing Image Classification

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.