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Updated: Jul 30, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
Intelligent Video Analytics for Human Action Recognition: The State of Knowledge
Marek Kulbacki1,2, Jakub Segen1,2, Zenon Chaczko2,3
1Polish-Japanese Academy of Information Technology, 02-008 Warsaw, Poland.
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.
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