Tracking multiple construction workers through deep learning and the gradient based method with re-matching based on multi-object tracking accuracy-Reference-Cited by-同舟云学术

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

Published:2020-11 Issue: Volume:119 Page:103308
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Angah Ohay,Chen Albert Y.

Funder

Ministry of Science and Technology

National Taiwan University

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference62 articles.

1. Computer vision techniques for construction safety and health monitoring;Seo;Adv. Eng. Inform.,2015

2. Continuous localization of construction workers via integration of detection and tracking;Park;Autom. Constr.,2016

3. Adaptive computer vision-based 2D tracking of workers in complex environments;Konstantinou;Autom. Constr.,2019

4. Integrated detection and tracking of workforce and equipment from construction jobsite videos;Zhu;Autom. Constr.,2017

5. 3D tracking of multiple onsite workers based on stereo vision;Lee;Autom. Constr.,2019

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