Action recognition based on a bag of 3D points

@article{Li2010ActionRB,
  title={Action recognition based on a bag of 3D points},
  author={Wanqing Li and Zhengyou Zhang and Zicheng Liu},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops},
  year={2010},
  pages={9-14}
}
This paper presents a method to recognize human actions from sequences of depth maps. Specifically, we employ an action graph to model explicitly the dynamics of the actions and a bag of 3D points to characterize a set of salient postures that correspond to the nodes in the action graph. In addition, we propose a simple, but effective projection based sampling scheme to sample the bag of 3D points from the depth maps. Experimental results have shown that over 90% recognition accuracy were… CONTINUE READING

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