Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition

Human pose estimation and action recognition are related tasks since both problems are strongly dependent on the human body representation and analysis. Nonetheless, most recent methods in the literature handle the two problems separately. In this article, we propose a multi-task framework for joint...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 43; H. 8; S. 2752 - 2764
Hauptverfasser:	Luvizon, Diogo C., Picard, David, Tabia, Hedi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Color imagery Computer Science Decoupling Frames per second Heating systems Human action recognition human pose estimation Image classification Machine learning multitask deep learning neural networks Pose estimation Signal and Image Processing Skeleton Source code Target recognition Task analysis Three-dimensional displays Two dimensional displays Video data Visualization Multitask deep learning Human action recognition Human pose estimation Neural networks
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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