Mining actionlet ensemble for action recognition with depth cameras

@article{Wang2012MiningAE,
  title={Mining actionlet ensemble for action recognition with depth cameras},
  author={Jiang Wang and Zicheng Liu and Ying Wu and Junsong Yuan},
  journal={2012 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2012},
  pages={1290-1297}
}
Human action recognition is an important yet challenging task. The recently developed commodity depth sensors open up new possibilities of dealing with this problem but also present some unique challenges. The depth maps captured by the depth cameras are very noisy and the 3D positions of the tracked joints may be completely wrong if serious occlusions occur, which increases the intra-class variations in the actions. In this paper, an actionlet ensemble model is learnt to represent each action… CONTINUE READING
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