Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks

Abstract In the realm of daily human interactions, a rich tapestry of behaviors and actions is observed, encompassing a wealth of informative cues. In the era of burgeoning big data, extensive repositories of images and videos have risen to prominence as the primary conduits for disseminating inform...

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Bibliographic Details

Published in:	Complex & Intelligent Systems
Main Authors:	Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng
Format:	Article
Language:	English
Published:	Springer 2024-12-01
Subjects:	Behavior recognition Skeleton-based spatiotemporal graph convolutional network Multi-stream fusion Long-range dependencies
Online Access:	https://doi.org/10.1007/s40747-024-01743-2