Improved video motion magnification method assisted by digital image correlation

Tong Ding; Long Tian; Qinghua Wang

doi:10.1117/12.3023281

15 February 2024 Improved video motion magnification method assisted by digital image correlation

Tong Ding, Long Tian, Qinghua Wang

Proceedings Volume 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023); 130691C (2024) https://doi.org/10.1117/12.3023281
Event: International Conference on Optical and Photonic Engineering (icOPEN 2023), 2023, Singapore, Singapore

Abstract

Video Motion Magnification (VMM) has gained considerable attention in the field of engineering measurement due to its impressive ability to amplify subtle motions. However, traditional algorithms often suffer from image artifacts and noise due to improper parameter settings, especially when dealing with weak motion. This paper introduces an improved VMM method that addresses this limitation by incorporating the Digital Image Correlation (DIC) technique. The proposed method utilizes DIC-measured image displacement results to analyze the dominant motion frequencies. Based on this analysis, the parameters of the VMM time domain filter are set accordingly. This approach enables motion magnification in videos while preserving image details and reducing noticeable artifacts. Simulation experiments conducted on an indoor precision displacement platform demonstrate the effectiveness of the proposed method. It eliminates the need for repetitive manual parameter adjustment through trial, producing clear and amplified motion videos. Additionally, it enables accurate measurement of small-scale motions. Overall, the proposed method enhances the performance of VMM by leveraging DIC and provides a more reliable and efficient approach for motion magnification in engineering measurement applications.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tong Ding, Long Tian, and Qinghua Wang "Improved video motion magnification method assisted by digital image correlation", Proc. SPIE 13069, International Conference on Optical and Photonic Engineering (icOPEN 2023), 130691C (15 February 2024); https://doi.org/10.1117/12.3023281

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KEYWORDS

Digital image correlation

Video

Tunable filters

Motion analysis

Motion measurement

Motion models

Deformation

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