Name
Abstract | ||
|---|---|---|
Cameras can be used as noncontact sensors to measure target vibration conveniently. Recently, spatial phase-based methods have been developed to detect small vibrations with robustness to imaging noise. To deal with videos recorded by unstable cameras, this article proposes a novel phase-based method, which focuses on separating camera motions from target vibrations in the spatial domain and the temporal domain. The proposed method first builds a spatial representation based on adjacent-frame phase differences, which can maintain the optical flow continuity and subsequently lead to the removal of linear camera motions in the spatial domain. Then, the temporal vibration waveforms, which may still contain distortions caused by unstable camera and noise, are extracted. To restore the target vibration, a singular spectrum analysis is further incorporated for characterizing target vibrations and attenuating the distortions. The proposed method is evaluated in various laboratory and outdoor experiments. Compared with the state-of-the-art methods, the proposed method demonstrates substantial improvements on the vibration frequency measurement in the presence of camera motions. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TIM.2022.3197750 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT |
Keywords | DocType | Volume |
Vibrations, Cameras, Videos, Vibration measurement, Frequency measurement, Phase measurement, Feature extraction, Phase-based motion estimation, singular spectrum analysis (SSA), unstable camera, vision-based vibration measurement | Journal | 71 |
ISSN | Citations | PageRank |
0018-9456 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zongdi Zang | 1 | 0 | 0.34 |
| Xuezhi Yang | 2 | 61 | 10.46 |
| Gang Zhang | 3 | 18 | 9.28 |
| Jincheng Wang | 4 | 0 | 0.34 |
| Jing Chen | 5 | 0 | 3.04 |