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

Marek Kulbacki, Jakub Segen, Zenon Chaczko, Jerzy W. Rozenblit, Michał Kulbacki, Ryszard Klempous, Konrad Wojciechowski

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number4258
JournalSensors
Volume23
Issue number9
DOIs
StatePublished - May 2023

Keywords

  • deep learning-based HAR
  • edge AI
  • human activity recognition
  • intelligent video analytics
  • pose-based HAR
  • spatio-temporal-based HAR
  • tracking-based HAR
  • video surveillance
  • visual transformers

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

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