BAYESIAN HIGH PRIORITY REGION GROWING FOR CHANGE DETECTION

In this paper we propose a new method for image segmen-tation. The new algorithm is applied to the video segmenta-tion 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 dis-tributions. 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 seg-mentation, using Bayesian dissimilarity criteria in a way that leads to linear computational cost of growing. 1