Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests

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Learning and Refining of Privileged Information-Based RNNs for Action Recognition from Depth Sequences (2017, background): “Unlike most of the previous works that are based on a certain assumption about the structure of the depth maps or the availability of a robust skeleton tracker, our model automatically learns features from raw depth maps irrespective of any assumptions [58, 51] on the structure of video sequences .”