NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

Abstract

Recent approaches in depth-based human activity analysis achieved outstanding performance and proved the effectiveness of 3D representation for classification of action classes. Currently available depth-based and RGB+Dbased action recognition benchmarks have a number of limitations, including the lack of training samples, distinct class labels, camera… (More)
DOI: 10.1109/CVPR.2016.115

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