Density-based modeling of visual features is very common in computer vision, either by using non-parametric techniques or through representing the underlying density function as a weighted sum of Gaussians. A number of real-time tasks such as background modeling or modeling the appearance of a moving target require sequential density estimation, where new data is incorporated in the model as it...