ArticleSensors (Basel, Switzerland)2019
Measurement of Dynamic Responses from Large Structural Tests by Analyzing Non-Synchronized Videos.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Full-Field 3D Displacement Measurement of Suspended Ceiling Systems Under Seismic Loading Using a Consumer-Grade Multi-Camera Framework.Sensors (Basel, Switzerland) · 2026Article
- A Stereo Synchronization Method for Consumer-Grade Video Cameras to Measure Multi-Target 3D Displacement Using Image Processing in Shake Table Experiments.Sensors (Basel, Switzerland) · 2025Article
- Motion Magnification of Vibration Image in Estimation of Technical Object Condition-Review.Sensors (Basel, Switzerland) · 2021Review
- Special Issue "Advanced Signal Processing in Intelligent Systems for Health Monitoring".Sensors (Basel, Switzerland) · 2019Article
- Damage Indexing Method for Shear Critical Tubular Reinforced Concrete Structures based on Crack Image Analysis.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
1 author.
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Abstract
Image analysis techniques have been employed to measure displacements, deformation, crack propagation, and structural health monitoring. With the rapid development and wide application of digital imaging technology, consumer digital cameras are commonly used for making such measurements because of their satisfactory imaging resolution, video recording capability, and relatively low cost. However, three-dimensional dynamic response monitoring and measurement on large-scale structures pose challenges of camera calibration and synchronization to image analysis. Without satisfactory camera position and orientation obtained from calibration and well-synchronized imaging, significant errors would occur in the dynamic responses during image analysis and stereo triangulation. This paper introduces two camera calibration approaches that are suitable for large-scale structural experiments, as well as a synchronization method to estimate the time difference between two cameras and further minimize the error of stereo triangulation. Two structural experiments are used to verify the calibration approaches and the synchronization method to acquire dynamic responses. The results demonstrate the performance and accuracy improvement by using the proposed methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.