Statistical background modeling is a standard technique for the detection of moving objects in a static scene. Nevertheless, the stateof-the-art approaches have several lacks for short sequences or quasi-stationary scenes. Quasi-static means that the ego-motion of the sensor is compensated by image processing. Our focus of attention goes back to the modeling of the pixel process, as it was intr...

A new background speaker modelling method is presented in this paper for text-independent speaker verification using Gaussian mixture models. This method does not require speech databases of other speakers to build background speaker models. A background model can be built directly from the same claimed speaker's database and has a smaller number of Gaussian mixtures compared to the claimed spe...