Learning body part‐based pose lexicons for semantic action recognition
Learning body part‐based pose lexicons for semantic action recognition
About this item
Full title
Author / Creator
Publisher
Stevenage: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Stevenage: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
Semantic action recognition aims to classify actions based on the associated semantics, which can be applied in video captioning and human‐machine interaction. In this paper the problem is addressed by jointly learning multiple pose lexicons based on multiple body parts. Specifically, multiple visual pose models are learnt, and one visual pose mode...
Alternative Titles
Full title
Learning body part‐based pose lexicons for semantic action recognition
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_553c2448e6f8438db5acf6764a076baf
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_553c2448e6f8438db5acf6764a076baf
Other Identifiers
ISSN
1751-9632
E-ISSN
1751-9640
DOI
10.1049/cvi2.12143