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We tackle the problem of semantic segmentation of dynamic scene in video sequences. We propose to incorporate foreground object information into pixel labeling by jointly reasoning semantic labels of super-voxels, object instance tracks and geometric relations between objects. We take an exemplar approach to object modeling by using a small set of object annotations and exploring the temporal consistency of object motion. After generating a set of moving object hypotheses, we design a CRFdoi:10.1109/wacv.2015.140 dblp:conf/wacv/LiuHG15 fatcat:pumpr6xq3ndxrc4nx4rqmwf6pe