Human Action Recognition Using APJ3D and Random Forests

  title={Human Action Recognition Using APJ3D and Random Forests},
  author={Ling Gan and Fu Chen},
Human action recognition is an important yet challenging task. In this paper, a simple and efficient method based on random forests is proposed for human action recognition. First, we extract the 3D skeletal joint locations from depth images. The APJ3D computed from the action depth image sequences by employing the 3D joint position features and the 3D joint angle features, and then clustered into K-means algorithm, which represent the typical postures of actions. By employing the improved… CONTINUE READING

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