Structure-Feature Fusion Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
نویسندگان
چکیده
منابع مشابه
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Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted parts or traversal rules, thus resulting in limited expressive power and difficulties of generalization. In this work, we propose a novel model of dynamic skeletons called SpatialTemporal Graph Convolutional Networks (ST-GCN), ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3046142