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Depth motion maps (DMMs) have shown effectiveness in human action recognition, however, they lose the temporal information and suffer from intra-class variations caused by action speed variations. To address these challenges, we propose a novel method for human action recognition. Firstly, Adaptive Hierarchical Depth Motion Maps (AH-DMMs) are calculated over temporal hierarchical windows of video...
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