Motion Segmentation with Level Sets

reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ABSTRACT Motion segmentation is an important problem in video processing and compression, and in computer vision. It is usually performed by either rst estimating a eld of motion parameters and then segmenting it, or by applying joint motion estimation and segmentation. Motion segmentation methods often constrain the set of possible solutions by forcing motion discontinuities to coincide with intensity discontinuities. In this paper, we propose an iterative method for joint motion estimation and segmentation that is based on level sets. The motion within individual segments is parametric and the method does not use the intensity discontinu-ity constraint, but is shown to be accurate for images with both synthetic and natural motion compliant with the assumed motion models.