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The Visual Computer
Retrieval of a specific human motion from 3D skeleton data is intractable because of its articulated complexity. We propose a context-based motion document formation method to reflect geometric variations by calculating covariance descriptors among skeletal joint locations and joint relative distances, and temporal variations by performing a coarse-to-fine segmentation on the motion sequence. The descriptors of query motion traverse all the motion categories to lock its motion words, which candoi:10.1007/s00371-019-01690-x fatcat:uavqoixxdjfjzcktafv65glmma