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Updated: Jul 20, 2025

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
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基于ST-GCN和YOLO的建筑工人互动行为识别研究

Peilin Li1, Fan Wu1, Shuhua Xue1

  • 1Department of Safety Engineering, Faculty of Engineering, China University of Geosciences, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括

这项研究引入了一种新的计算机视觉方法,通过分析人机/材料相互作用来检测建筑工人的不安全行为. 与传统方法相比,这种方法显著提高了安全监测的准确性.

关键词:
打开Pose,可以使用Pose.在ST-GCN中.这是一个YOLO YOLO.建筑工人 建筑工人 建筑工人互动行为 识别 交互行为 识别

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