FORTH-ICS / TR-155 Detection and location of moving objects using deterministic relaxation algorithms

Two important problems in motion analysis are addressed in this paper: change detection and moving object location. For the rst problem, the inter-frame di erence is modelized by a mixture of Laplacian distributions, a Gibbs random eld is used for describing the label eld, and ICM (Iterated Conditional Modes) or HCF (Highest Con dence First) algorithms are used for solving the resulting optimization problem. The solution of the second problem is based on the observation of two successive frames alone. Using the results of change detection an adaptive statistical model for the couple of image intensities is identi ed. Then the labeling problem is solved using either ICM or HCF algorithm. Results on real image sequences illustrate the e ciency of the proposed method.