Probabilistic Graph Based Object Category Recognition Using the Context of Object-Action Interaction

Yoon, SungBaek; Bae, Seho; Park, Han-je; Yi, Juneho

doi:10.7840/kics.2015.40.11.2284

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…However, it is difficult to use fixed cameras or handheld cameras to measure the dynamic responses for some outdoor structures, because it is hard to reach for measurement or maintenance sometimes. Therefore, UAV is an effective alternative and the modal parameters can be identified using the extracted dynamic responses and OMA method (Forster et al, 2014; Kendall and Cipolla,2016; Yoon et al, 2006; Zhang,2000). Vedhus Hoskere et al (Hoskere et al (2019) proposed an automated displacement extraction method based on optical flow tracking, high-pass filtering, compensation for perspective, and scale distortion.…”

Section: Introductionmentioning

confidence: 99%

UAV-based operational modal analysis method using improved homography-based perspective rectification method

Jun

Tang

et al. 2023

Journal of Vibration and Control

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In this paper, a new dynamic photogrammetry method using an unmanned aerial vehicle (UAV) is proposed and the UAV-based operational modal analysis method is established. The presented dynamic photogrammetry method can measure the dynamic displacements of structure using one or two cameras. However, it is difficult to use fixed cameras or handheld cameras to measure the dynamic responses for some outdoor structures, because it is hard to reach for measurement or maintenance sometimes. Therefore, UAV is an effective alternative and the homography-based perspective rectification method can be used to correct the UAV images. However, the presented methods use only four calibration points. Additionally, there is still obvious signal drift in the extracted dynamic responses. In this paper, a new time varying homography matrix, calculated using n calibration points, is proposed here for the first time to correct the perspective distortion for image at different time and the relative displacements are used to eliminate the influence of UAV in-plane motion. The influence analysis of UAV vibration and the method to eliminate the UAV vibration are the novelty of this paper. And then, the UAV-based operational modal analysis method is proposed. The proposed method is verified using a plane frame structure in laboratory. The results show that the proposed method can effectively eliminate the vibration of UAV and identify the structural modal parameters. Under the impulse excitation and white noise excitation, when the calibration points n is larger than 60, the relative errors of natural frequency and damping ratio are less than 0.4% and 5.45%, respectively. And the MAC values are all greater than 0.99. Meanwhile, the influence of the number of adopted calibration points on modal parameters identification is considered in the experiment and the advised value is given.

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