Intelligent Video Analytics for Human Action Recognition: The State of Knowledge

The paper presents a comprehensive overview of intelligent video analytics and human action recognition methods. The article provides an overview of the current state of knowledge in the field of human activity recognition, including various techniques such as pose-based, tracking-based, spatio-temp...

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Detalles Bibliográficos
Autores principales: Kulbacki, Marek, Segen, Jakub, Chaczko, Zenon, Rozenblit, Jerzy W., Kulbacki, Michał, Klempous, Ryszard, Wojciechowski, Konrad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181781/
https://www.ncbi.nlm.nih.gov/pubmed/37177461
http://dx.doi.org/10.3390/s23094258
Descripción
Sumario:The paper presents a comprehensive overview of intelligent video analytics and human action recognition methods. The article provides an overview of the current state of knowledge in the field of human activity recognition, including various techniques such as pose-based, tracking-based, spatio-temporal, and deep learning-based approaches, including visual transformers. We also discuss the challenges and limitations of these techniques and the potential of modern edge AI architectures to enable real-time human action recognition in resource-constrained environments.

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