In recent years, computer vision and optical sensing have emerged as powerful, cost-effective, and non-contact technologies for vibration monitoring. They open up new possibilities in operational modal analysis and structural health monitoring, thanks to very dense spatial resolution and low instrumentation costs. Techniques such as digital image correlation, optical flow, motion magnification, and UAV-based photogrammetry enable accurate motion extraction, dynamic characterization, and early-stage damage detection, even under operational conditions.

This special session aims to showcase the latest developments and future directions in vision-based vibration assessment. Contributions are invited on novel methods, hybrid approaches combining video data with conventional sensing, and applications to real-world infrastructure such as bridges, buildings, and wind turbines.

Topics of interest include (but are not limited to):

• Motion extraction and vision-based modal analysis,
• Structural feature extraction for damage detection and diagnosis,
• Motion magnification and computational imaging techniques,
• UAV-based inspection and monitoring of hard-to-reach assets,
• Robust and efficient processing for real-world environments,
• Data fusion with conventional sensors,
• Benchmarking, validation campaigns, and comparisons with traditional sensing approaches.

Track chairs

Michael Döhler, Inria

Liangliang Cheng, University of Groningen

Zhen Sun, Southeast University

Vincent Baltazart, Université Gustave Eiffel

Janko Slavič, University of Ljubljana