https://openalex.org/T10812
This cluster of papers focuses on the development and application of deep learning techniques for human action recognition and pose estimation. It covers topics such as spatiotemporal feature learning, convolutional networks, 3D human pose estimation, skeleton-based recognition, and video classification. The research aims to advance the understanding and accurate detection of human actions in various environments.
@prefix oasubfields: <https://openalex.org/subfields/> .
@prefix openalex: <https://lambdamusic.github.io/openalex-hacks/ontology/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
<https://openalex.org/T10812> a skos:Concept ;
rdfs:label "Human Action Recognition and Pose Estimation"@en ;
rdfs:isDefinedBy openalex: ;
owl:sameAs <https://en.wikipedia.org/wiki/Action_recognition_in_videos>,
<https://openalex.org/T10812> ;
skos:broader oasubfields:1707 ;
skos:definition "This cluster of papers focuses on the development and application of deep learning techniques for human action recognition and pose estimation. It covers topics such as spatiotemporal feature learning, convolutional networks, 3D human pose estimation, skeleton-based recognition, and video classification. The research aims to advance the understanding and accurate detection of human actions in various environments."@en ;
skos:inScheme openalex: ;
skos:prefLabel "Human Action Recognition and Pose Estimation"@en ;
openalex:cited_by_count 857710 ;
openalex:works_count 34591 .