Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video

@article{Pero2015BehaviorDA,
  title={Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video},
  author={Luca Del Pero and Susanna Ricco and Rahul Sukthankar and Vittorio Ferrari},
  journal={International Journal of Computer Vision},
  year={2015},
  volume={121},
  pages={303-325}
}
We propose an automatic system for organizing the content of a collection of unstructured videos of an articulated object class (e.g., tiger, horse). By exploiting the recurring motion patterns of the class across videos, our system: (1) identifies its characteristic behaviors, and (2) recovers pixel-to-pixel alignments across different instances. Our system can be useful for organizing video collections for indexing and retrieval. Moreover, it can be a platform for learning the appearance or… CONTINUE READING
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