Work

Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

Year: 2017

Type: article

Source: Automation in Construction

DOI: 10.1016/j.autcon.2017.09.018

Authors: Qi Fang, Heng Li, Xiaochun Luo, Lieyun Ding, Hanbin Luo, Timothy M. Rose, Wangpeng An

Institutions: Hong Kong Polytechnic University, Huazhong University of Science and Technology, Queensland University of Technology

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Health and Safety Executive, National Natural Science Foundation of China, Research Grants Council, University Grants Committee

Awards: G2141161582, G2481260020

OpenAlex ID: W2761891891

FWCI: 11.68

Cites: 57

Cited by: 602

Related to: 10