Bayesian high priority Region Growing for change detection

In this paper we propose a new method for image segmentation. The new algorithm is applied to the video segmentation task, where the localization of moving objects is based on change detection. The change detection problem in the pixel domain is formulated by two zero mean Laplacian distributions. The new method follows the concept of the well known Seeded Region Growing technique, while is adapted to the statistical description of change detection based segmentation, using Bayesian dissimilarity criteria in a way that leads to linear computational cost of growing.