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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on circuits and systems for video technology Vol. 30; no. 2; pp. 457 - 467
Main Authors:	Zhou, Lijuan, Li, Wanqing, Ogunbona, Philip, Zhang, Zhengyou
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!