Skeleton-Based Spatio-Temporal U-Network for 3D Human Pose Estimation in Video

Despite the great progress in 3D pose estimation from videos, there is still a lack of effective means to extract spatio-temporal features of different granularity from complex dynamic skeleton sequences. To tackle this problem, we propose a novel, skeleton-based spatio-temporal U-Net(STUNet) scheme...

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Bibliografski detalji

Glavni autori:	Weiwei Li, Rong Du, Shudong Chen
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-03-01
Serija:	Sensors
Teme:	3D pose estimation graph convolutional networks non-local mechanics temporal convolutional networks
Online pristup:	https://www.mdpi.com/1424-8220/22/7/2573
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