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Motion segmentation with occlusions on the superpixel graph
2009
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops
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 computing
doi:10.1109/iccvw.2009.5457630
dblp:conf/iccvw/AyvaciS09
fatcat:ruero2eddndtvhcxj356fnjnau