Skeleton-based action recognition by part-aware graph convolutional networks

Yang Qin; Lingfei Mo; Chenyang Li; Jiayi Luo

doi:10.1007/s00371-019-01644-3

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Skeleton-based action recognition by part-aware graph convolutional networks

Yang Qin Lingfei Mo Chenyang Li Jiayi Luo

Year: 2019 Journal: The Visual Computer Vol: 36 (3)Pages: 621-631 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-019-01644-3

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Keywords:

Computer science Artificial intelligence Robustness (evolution) Convolutional neural network Pattern recognition (psychology) Action recognition RGB color model Graph Convolution (computer science) Skeleton (computer programming) Computer graphics Feature (linguistics) Benchmark (surveying) Artificial neural network Theoretical computer science

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Skeleton-based action recognition by part-aware graph convolutional networks

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