Automated region-of-interest selection for computer-vision-based displacement estimation of civil structures

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A recent trend in vision-based displacement measurement is to place a camera at the measurement point and capture the images of the surrounding areas. In this scheme, a proper region of interest (ROI) should be selected from the captured images. This paper proposes an automated ROI selection technique to improve displacement estimation accuracy. The image frames that capture larger movements of the surrounding areas were selected, and the features in the selected frames were grouped using clustering algorithms. The feature group with consistent movement and high density was finally selected as the optimum ROI. The proposed technique was validated through laboratory and field tests. A displacements estimation technique previously proposed by the authors were used to compared the optimum ROI and four intuitively selected ROIs. In all the tests, the displacement estimates from the optimum ROI showed a smaller RMSE (less than 2 mm) than those from other ROIs.
Publisher
ELSEVIER SCI LTD
Issue Date
2023-08
Language
English
Article Type
Article
Citation

MEASUREMENT, v.218

ISSN
0263-2241
DOI
10.1016/j.measurement.2023.113158
URI
http://hdl.handle.net/10203/310559
Appears in Collection
CE-Journal Papers(저널논문)
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