Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers

Hazardous accidents often happen in construction sites and bring fatal consequences, and therefore safety management has been a certain dilemma to construction managers for long time. Although computer vision technology has been used on construction sites to identify construction workers and track t...

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Autores principales:	Hui Deng, Zhibin Ou, Yichuan Deng
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	worker detection multiple cameras trajectory estimation safety analysis intelligent management Medicine R
Acceso en línea:	https://doaj.org/article/b913bdd3d9314e7c995a8284dbe0324c
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id	oai:doaj.org-article:b913bdd3d9314e7c995a8284dbe0324c
record_format	dspace
spelling	oai:doaj.org-article:b913bdd3d9314e7c995a8284dbe0324c2021-11-25T17:48:38ZMulti-Angle Fusion-Based Safety Status Analysis of Construction Workers10.3390/ijerph1822118151660-46011661-7827https://doaj.org/article/b913bdd3d9314e7c995a8284dbe0324c2021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/11815https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Hazardous accidents often happen in construction sites and bring fatal consequences, and therefore safety management has been a certain dilemma to construction managers for long time. Although computer vision technology has been used on construction sites to identify construction workers and track their movement trajectories for safety management, the detection effect is often influenced by limited coverage of single cameras and occlusion. A multi-angle fusion method applying SURF feature algorithm is proposed to coalesce the information processed by improved GMM (Gaussian Mixed Model) and HOG + SVM (Histogram of Oriented Gradient and Support Vector Machines), identifying the obscured workers and achieving a better detection effect with larger coverage. Workers are tracked in real-time, with their movement trajectory estimated by utilizing Kalman filters and safety status analyzed to offer a prior warning signal. Experimental studies are conducted for validation of the proposed framework for workers’ detection and trajectories estimation, whose result indicates that the framework is able to detect workers and predict their movement trajectories for safety forewarning.Hui DengZhibin OuYichuan DengMDPI AGarticleworker detectionmultiple camerastrajectory estimationsafety analysisintelligent managementMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11815, p 11815 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	worker detection multiple cameras trajectory estimation safety analysis intelligent management Medicine R
spellingShingle	worker detection multiple cameras trajectory estimation safety analysis intelligent management Medicine R Hui Deng Zhibin Ou Yichuan Deng Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers
description	Hazardous accidents often happen in construction sites and bring fatal consequences, and therefore safety management has been a certain dilemma to construction managers for long time. Although computer vision technology has been used on construction sites to identify construction workers and track their movement trajectories for safety management, the detection effect is often influenced by limited coverage of single cameras and occlusion. A multi-angle fusion method applying SURF feature algorithm is proposed to coalesce the information processed by improved GMM (Gaussian Mixed Model) and HOG + SVM (Histogram of Oriented Gradient and Support Vector Machines), identifying the obscured workers and achieving a better detection effect with larger coverage. Workers are tracked in real-time, with their movement trajectory estimated by utilizing Kalman filters and safety status analyzed to offer a prior warning signal. Experimental studies are conducted for validation of the proposed framework for workers’ detection and trajectories estimation, whose result indicates that the framework is able to detect workers and predict their movement trajectories for safety forewarning.
format	article
author	Hui Deng Zhibin Ou Yichuan Deng
author_facet	Hui Deng Zhibin Ou Yichuan Deng
author_sort	Hui Deng
title	Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers
title_short	Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers
title_full	Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers
title_fullStr	Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers
title_full_unstemmed	Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers
title_sort	multi-angle fusion-based safety status analysis of construction workers
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b913bdd3d9314e7c995a8284dbe0324c
work_keys_str_mv	AT huideng multianglefusionbasedsafetystatusanalysisofconstructionworkers AT zhibinou multianglefusionbasedsafetystatusanalysisofconstructionworkers AT yichuandeng multianglefusionbasedsafetystatusanalysisofconstructionworkers
_version_	1718412007727693824

Multi-Angle Fusion-Based Safety Status Analysis of Construction Workers

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