Jointly Learning Visual Poses and Pose Lexicon for Semantic Action Recognition

A novel method for semantic action recognition through learning a pose lexicon is presented in this paper. A pose lexicon comprises a set of semantic poses, a set of visual poses, and a probabilistic mapping between the visual and semantic poses. This paper assumes that both the visual poses and map...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 30; H. 2; S. 457 - 467
Hauptverfasser:	Zhou, Lijuan, Li, Wanqing, Ogunbona, Philip, Zhang, Zhengyou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Alignment Computational modeling Conditional probability Datasets Expectation-maximization algorithms Hidden Markov models Integrated circuit modeling Learning Mapping Markov chains pose lexicon Probabilistic logic Recognition Semantic action recognition Semantics Statistical analysis Visual observation visual pose Visualization
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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