Open AccessLearning spatial–temporal features via a pose-flow relational model for action recognition
Author(s) -
Qianyu Wu,
Fangqiang Hu,
Aichun Zhu,
Zixuan Wang,
Yaping Bao
Publication year - 2020
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0011161
Subject(s) - computer science , optical flow , artificial intelligence , pose , human skeleton , action (physics) , feature (linguistics) , exploit , computer vision , motion (physics) , object (grammar) , pattern recognition (psychology) , action recognition , field (mathematics) , 3d pose estimation , machine learning , image (mathematics) , mathematics , pure mathematics , linguistics , philosophy , physics , computer security , quantum mechanics , class (philosophy)
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