Layers-Based Image Segmentation Incorporating Motion Estimation with Static Segmentation
نویسندگان
چکیده
This paper addresses the problem of motion segmentation using a multilayer representation. At first, the coarse optic flow is estimated using the robust Simultaneous-Over-Relaxation (SOR) algorithm, meanwhile the intensity segmentation is performed by a watershed algorithm. The image is divided into nonoverlapping rectangular tiled regions, within those subregions affine motion models are fitted from the optic flow. Using the ISODATA clustering algorithm, those affine models are grouped into a small number of motion models. Finally, based on registration errors by image warping on each watershed segment, the support maps of multilayers are obtained. Experimental results from real images are given to show the efficiency of our method.
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