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Image Motion Extraction of Structures Using Computer Vision Techniques: A Comparative Study.

Jau-Yu Chou1, Chia-Ming Chang1

  • 1Department of Civil Engineering, National Taiwan University, Taipei 10617, Taiwan.

Sensors (Basel, Switzerland)
|September 28, 2021
PubMed
Summary
This summary is machine-generated.

Computer vision techniques enable structural displacement measurements for health monitoring without physical sensors. Digital Image Correlation (DIC) achieved the lowest error in experimental validation on a steel-frame building.

Keywords:
Riesz pyramidbilinear interpolationdigital image correlationmodal property extractionoptical flowphase-based motion magnification

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Area of Science:

  • Civil Engineering
  • Structural Health Monitoring
  • Computer Vision

Background:

  • Vibrational measurements are crucial for structural health monitoring, including modal extraction and damage diagnosis.
  • Assessing civil structure conditions often relies on displacement responses, but traditional sensors are impractical for real-world buildings.
  • Computer vision offers an alternative for acquiring structural displacements and vibrational responses.

Purpose of the Study:

  • To introduce and experimentally verify three computer vision-based methods for acquiring structural displacements.
  • To compare the accuracy of these methods against traditional linear variable displacement transducers.
  • To evaluate the modal properties derived from the vision-based displacement data.

Main Methods:

  • Optical flow using the Lucas-Kanade method.
  • Digital Image Correlation (DIC) with bilinear interpolation.
  • In-plane phase-based motion magnification using the Riesz pyramid.
  • Experimental verification on a four-story steel-frame building using a commercial camera.

Main Results:

  • Digital Image Correlation (DIC) demonstrated the lowest average root mean squared error (RMSE) of 1.2371 mm.
  • Phase-based motion magnification, despite a higher RMSE (1.4132 mm), provided full-field mode shapes.
  • All three methods successfully acquired vibrational responses and enabled system identification for modal properties.

Conclusions:

  • Computer vision techniques are viable alternatives for structural displacement monitoring in civil engineering.
  • DIC offers high accuracy for displacement measurements, while phase-based methods provide comprehensive spatial information.
  • These vision-based approaches facilitate structural health monitoring and modal analysis without intrusive instrumentation.