Recognition of High-Risk Scenarios in Building Construction Based on Image Semantics

AbstractThe action analysis and semantic interpretation of images have recently attracted increased attention in the field of computer vision. However, it is difficult for an intelligent monitoring method based on computer vision to understand complex scenarios and describe hazardous events from a s...

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Veröffentlicht in:	Journal of computing in civil engineering 2020-07, Vol.34 (4)
Hauptverfasser:	Zhang, Mingyuan, Zhu, Mi, Zhao, Xuefeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer vision Construction accidents & safety Construction site accidents Object recognition Occupational safety Ontology Risk Safety management Semantics Surveillance Technical Papers
Online-Zugang:	Volltext
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