Structural displacement monitoring using deep learning-based full field optical flow methods-Reference-Cited by-同舟云学术

Structural displacement monitoring using deep learning-based full field optical flow methods

Published:2019-08-21 Issue:1 Volume:16 Page:51-71
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Dong Chuan-Zhi¹,Celik Ozan¹,Catbas F. Necati¹,O’Brien Eugene J.²,Taylor Su³

Affiliation:

1. Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, Florida, USA;

2. The School of Civil Engineering, University College, Dublin, Ireland;;

3. The School of Natural and Built Environment, Queens University Belfast, Belfast, UK

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2019.1650078

Reference65 articles.

1. Speeded-Up Robust Features (SURF)

2. Distributed file system support for virtual machines in grid computing

3. A computer vision approach for the load time history estimation of lively individuals and crowds

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