Log in to save to my catalogue

Learning body part‐based pose lexicons for semantic action recognition

Learning body part‐based pose lexicons for semantic action recognition

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_553c2448e6f8438db5acf6764a076baf

Learning body part‐based pose lexicons for semantic action recognition

About this item

Full title

Learning body part‐based pose lexicons for semantic action recognition

Author / Creator

Publisher

Stevenage: John Wiley & Sons, Inc

Journal title

IET Computer Vision, 2023-03, Vol.17 (2), p.135-155

Language

English

Formats

Publication information

Publisher

Stevenage: John Wiley & Sons, Inc

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

How to access this item