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Fully Connected Object Proposals for Video Segmentation
2015
2015 IEEE International Conference on Computer Vision (ICCV)
We present a novel approach to video segmentation using multiple object proposals. The problem is formulated as a minimization of a novel energy function defined over a fully connected graph of object proposals. Our model combines appearance with long-range point tracks, which is key to ensure robustness with respect to fast motion and occlusions over longer video sequences. As opposed to previous approaches based on object proposals, we do not seek the best per-frame object hypotheses to
doi:10.1109/iccv.2015.369
dblp:conf/iccv/PerazziWGS15
fatcat:us7wvd7gkndvnlemu3ibiowfhm