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

Khaloo, A. and Lattanzi, D. (2017) "Pixel-Wise Structural Motion Tracking from Rectified Repurposed Videos," Structural Control and Health Monitoring, doi:10.1002/stc.2009.
Khaloo, A., and Lattanzi, D. (2016) "Repurposing Video Recordings for Structure Motion Estimations," SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring pp. 980410-980410. International Society for Optics and Photonics, Las Vegas, NV, March 2016.