Title

Non-Target Displacement Measurement Of Structures Using Vision Based Approaches

Abstract

Although vision based methods for displacement measurement have been used in civil engineering for more than a decade, most of those techniques required some sort target attachment. Using target attachment techniques for real-life structures such as bridges is not practical in most of the cases. In this study, a non-target vision based method for displacement measurement is developed by proposing a new type of virtual markers instead of physical targets. The key-points of measured locations are extracted by means of a robust computer vision technique named Scale Invariant Feature Transform (SIFT), and characteristics of the key-points show a potential ability to take the place of classical targets. To calculate the converting ratio between image coordinate and world coordinate, a camera calibration method is implemented while the conventional targets are no longer existence. The proposed method has been verified at the UCF 4-span bridge model and delivering good results at both static and dynamic displacement behavior of the model. Furthermore, the method can be seen as less complicated and more cost-effective than conventional approaches. © 2014 Taylor & Francis Group.

Publication Date

1-1-2014

Publication Title

Bridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014

Number of Pages

668-675

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1201/b17063-97

Socpus ID

84906712047 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84906712047

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