Vision-based vibration adaptive tracking measurement and magnification for objects in large motion

Visual vibration measurement technology, as an emerging method, excels in capturing object micro-vibrations with noncontact, full-field-of-view, and high spatial resolution capabilities. However, current advanced methods can generate artifacts or fail when measuring objects in large motion, raising reliability concerns. This paper presents a motion-robust visual vibration measurement and magnification method combining discriminative scale space tracking (DSST) with phase-based adaptive video magnification (PBAVM). DSST extracts motion and vibration-estimated signals from regions of interest of dynamic targets, using the motion signals for video stabilization and the vibration signals as frequency constraints for PBAVM. This integration enhances the signal-to-noise ratio of micro-vibration measurements, even with large motion backgrounds. Compared to existing methods, this approach accurately tracks and measures dynamic objects in significant motion and visualizes their micro-vibrations without manual intervention. The feasibility and effectiveness of this method were verified through numerical and experimental results.