Abstract: Tracking nonrigid moving objects in clutter background is a difficult problem in computer vision On the basis of geodesic active contour models, incorporating with the motion edge information, and using the force field regularization method, a new framework for tracking multi nonrigid moving objects in clutter background is presented in this paper This framework consists of two stages: motion detection and tracking Using motion edge information, the contour is evolved to the region near the moving object boundary at the motion detection stage Then a tracking stage, only using the static edge information in current input frame, is considered to correct the motion detection deviation Furthermore, the tracking deviation will be corrected at the motion detection stage of the next frame Experiments demonstrate that the proposed approach is valid for tracking multiple nonrigid moving objects in clutter background