Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion

@article{Zhou2013HierarchicalAC,
  title={Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion},
  author={Feng Zhou and Fernando De la Torre and Jessica K. Hodgins},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2013},
  volume={35},
  pages={582-596}
}
Temporal segmentation of human motion into plausible motion primitives is central to understanding and building computational models of human motion. Several issues contribute to the challenge of discovering motion primitives: the exponential nature of all possible movement combinations, the variability in the temporal scale of human actions, and the complexity of representing articulated motion. We pose the problem of learning motion primitives as one of temporal clustering, and derive an… CONTINUE READING
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