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We present a motion segmentation algorithm that partitions the image plane into disjoint regions based on their parametric motion. It relies on a finer partitioning of the image domain into regions of uniform photometric properties, with motion segments made of unions of such "superpixels." We exploit recent advances in combinatorial graph optimization that yield computationally efficient estimates. The energy functional is built on a superpixel graph, and is iteratively minimized by computingdoi:10.1109/iccvw.2009.5457630 dblp:conf/iccvw/AyvaciS09 fatcat:ruero2eddndtvhcxj356fnjnau