Pixel-wise structural motion tracking

  • A flexible, low-cost, and target-free approach for extracting motion time histories from video recordings of structures during an event

  • Four optical flow techniques are considered for tracking structure motions recorded in videos

  • Nonlinear optimization of the flow fields is found to be essential for accuracy in earthquake scenarios

  • A combination of parametric video stabilization, 3D denoising, and outlier robust camera motion estimation are employed to mitigate the effects of camera motion and video encoding artifacts

  • Statistical approach for background motion subtraction was utilized to further correct the undesired camera motion  

  • The developed method has potential for post-disaster forensic scenarios

Related Publications

Cornell University

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© 2019 Ali Khaloo​

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