Polish-Japanese Academy of Information Technology, 02-008 Warsaw, Poland.
DIVE IN AI, 53-307 Wroclaw, Poland.
Sensors (Basel). 2023 Apr 25;23(9):4258. doi: 10.3390/s23094258.
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.
本文全面介绍了智能视频分析和人类动作识别方法。文章概述了人类活动识别领域的现有知识状况，包括基于姿势、基于跟踪、时空和基于深度学习的各种技术，以及视觉转换器。我们还讨论了这些技术的挑战和局限性，以及现代边缘人工智能架构在资源受限环境中实现实时人类动作识别的潜力。
