Articulated motion discovery using pairs of trajectories

@article{Pero2015ArticulatedMD,
  title={Articulated motion discovery using pairs of trajectories},
  author={Luca Del Pero and Susanna Ricco and Rahul Sukthankar and Vittorio Ferrari},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={2151-2160}
}
We propose an unsupervised approach for discovering characteristic motion patterns in videos of highly articulated objects performing natural, unscripted behaviors, such as tigers in the wild. We discover consistent patterns in a bottom-up manner by analyzing the relative displacements of large numbers of ordered trajectory pairs through time, such that each trajectory is attached to a different moving part on the object. The pairs of trajectories descriptor relies entirely on motion and is… CONTINUE READING
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