Anomaly detection in videos using optical flow and convolutional autoencoder

E Duman, OA Erdem - IEEE Access, 2019 - ieeexplore.ieee.org
Today, public areas, such as airports, hospitals, city centers are monitored by surveillance
systems. The widespread use of surveillance systems reduces security concerns while …

Effective inertial sensor quantity and locations on a body for deep learning-based worker's motion recognition

K Kim, YK Cho - Automation in Construction, 2020 - Elsevier
Construction tasks involve various activities composed of one or more body motions. As
construction projects are labor-intensive and heavily rely on manual tasks, understanding …

Real-time smart video surveillance to manage safety: A case study of a transport mega-project

H Luo, J Liu, W Fang, PED Love, Q Yu, Z Lu - Advanced Engineering …, 2020 - Elsevier
There is a tendency for accidents and even fatalities to arise when people enter hazardous
work areas during the construction of projects in urban areas. A limited amount of research …

Using context-guided data augmentation, lightweight CNN, and proximity detection techniques to improve site safety monitoring under occlusion conditions

H Chen, L Hou, GK Zhang, S Wu - Safety science, 2023 - Elsevier
Automated recognition of image patterns in surveillance cameras is beneficial for safety
monitoring. A representative application is visual proximity detection for accident prevention …

Manifesting construction activity scenes via image captioning

H Liu, G Wang, T Huang, P He, M Skitmore… - Automation in …, 2020 - Elsevier
This study proposed an automated method for manifesting construction activity scenes by
image captioning–an approach rooted in computer vision and natural language generation …

Influencing factors, mechanism and prevention of construction workers' unsafe behaviors: a systematic literature review

Q Meng, W Liu, Z Li, X Hu - … journal of environmental research and public …, 2021 - mdpi.com
Unsafe behaviors of construction workers are one of the main causes of accidents at
construction sites. The research on unsafe behaviors of workers helps to reduce the …

Applications of computer vision in monitoring the unsafe behavior of construction workers: Current status and challenges

W Liu, Q Meng, Z Li, X Hu - Buildings, 2021 - mdpi.com
The unsafe behavior of construction workers is one of the main causes of safety accidents at
construction sites. To reduce the incidence of construction accidents and improve the safety …

Tracking multiple construction workers through deep learning and the gradient based method with re-matching based on multi-object tracking accuracy

O Angah, AY Chen - Automation in Construction, 2020 - Elsevier
Multiple construction worker tracking is an active research area critical to the planning of the
job site. Challenges in multiple construction worker tracking include miss detection and …

How adoption of coping behaviors determines construction workers' safety: A quantitative and qualitative investigation

Q Liang, M Leung, K Ahmed - Safety Science, 2021 - Elsevier
Safety problems have long been prominent in the construction industry, with huge numbers
of injuries and fatal incidents annually among construction workers. Construction workers …

Ontology-based semantic modeling of knowledge in construction: Classification and identification of hazards implied in images

B Zhong, H Li, H Luo, J Zhou, W Fang… - Journal of construction …, 2020 - ascelibrary.org
Identifying potential hazards of construction project is a data-intensive process that involves
various types of information such as site data, specifications, and engineering documents …