@inproceedings{vazquez2010multiple,
  title={Multiple hypothesis video segmentation from superpixel flows},
  author={Vazquez-Reina, Amelio and Avidan, Shai and Pfister, Hanspeter and Miller, Eric},
  abstract={Multiple Hypothesis Video Segmentation (MHVS) is a method for the unsupervised photometric segmentation of video sequences. MHVS segments arbitrarily long video streams by considering only a few frames at a time, and handles the automatic creation, continuation and termination of labels with no user initialization or supervision. The process begins by generating several pre-segmentations per frame and enumerating multiple possible trajectories of pixel regions within a short time window. After assigning each trajectory a score, we let the trajectories compete with each other to segment the sequence. We determine the solution of this segmentation problem as the MAP labeling of a higher-order random field. This framework allows MHVS to achieve spatial and temporal long-range label consistency while operating in an on-line manner. We test MHVS on several videos of natural scenes with arbitrary camera and object motion.},
  booktitle={European conference on Computer vision},
  pages={268--281},
  year={2010},
  organization={Springer}
}