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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on circuits and systems for video technology Ročník 30; číslo 2; s. 457 - 467
Hlavní autoři:	Zhou, Lijuan, Li, Wanqing, Ogunbona, Philip, Zhang, Zhengyou
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!