Skeleton-Based ST-GCN for Human Action Recognition With Extended Skeleton Graph and Partitioning Strategy
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DOI: 10.1109/access.2022.3164711
Abstract: Skeleton-based Graph Convolutional Networks (GCN) for human action and interaction recognition have received considerable attention of researchers due to its compact and view-invariant nature of skeleton data. However, the static skeleton graph topology in conventional… read more here.
Keywords: extended skeleton; partitioning strategy; graph; skeleton ... See more keywords