Recognizing Actions from Depth Cameras as Weakly Aligned Multi-part Bag-of-Poses

@article{Seidenari2013RecognizingAF,
  title={Recognizing Actions from Depth Cameras as Weakly Aligned Multi-part Bag-of-Poses},
  author={Lorenzo Seidenari and Vincenzo Varano and Stefano Berretti and Alberto Del Bimbo and Pietro Pala},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  year={2013},
  pages={479-485}
}
Recently released depth cameras provide effective estimation of 3D positions of skeletal joints in temporal sequences of depth maps. In this work, we propose an efficient yet effective method to recognize human actions based on the positions of joints. First, the body skeleton is decomposed in a set of kinematic chains, and the position of each joint is expressed in a locally defined reference system which makes the coordinates invariant to body translations and rotations. A multi-part bag-of… CONTINUE READING
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