Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition

27 Feb 2018Chaolong LiZhen CuiWenming ZhengChunyan XuJian Yang

Variations of human body skeletons may be considered as dynamic graphs, which are generic data representation for numerous real-world applications. In this paper, we propose a spatio-temporal graph convolution (STGC) approach for assembling the successes of local convolutional filtering and sequence learning ability of autoregressive moving average... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Skeleton Based Action Recognition Florence 3D Deep STGC_K Accuracy 99.1% # 1

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