Still-camera multiview Spectral Optical Flow Imaging for 3D operating-deflection-shape identification

Gorjup, Domen; Slavič, Janko; Babnik, Aleš

doi:10.1016/j.ymssp.2020.107456

Cited by 31 publications

(6 citation statements)

References 42 publications

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“…Among the data collected by the sensor, the optical flow constraint equation of the image collected by the traditional sensor cannot be used for optical flow calculation. e constraint equation for the event flow requires the DVS to perform discrete data collection [27,28]. In three-dimensional coordinates, the position transformation of the event stream over a period can be mapped to the coordinate change of the initial plane.…”

Section: Uses the Brightness Change Of The Pixelmentioning

confidence: 99%

Computer Digital Technology Combined with Dynamic Visual Communication Sensors in Target Tracking with Big Data

Han

Zhao

2022

Mathematical Problems in Engineering

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The detection algorithm is explored to improve the dynamic visual sensors (DVS) combined with computer digital technology, build a DVS network, and complete the monitoring and tracking of the target. Ultimately, the problem that needs to be solved is the poor quality of traditional communication sensor data transmission, which needs to be improved by DVS. Firstly, the structure and function of the network are described through dynamic visual perception requirements analysis. Secondly, by introducing a target tracking algorithm that combines event flow and grayscale images, two methods are proposed, namely, the event flow noise reduction method based on event density and the optical flow detection feature tracking algorithm. Finally, through experiments, the tracking and detection effect of the optical flow detection algorithm on the target object in the dark environment is verified in the high-speed motion scene and the reflection environment. The results show that the average error of target object detection and tracking is 3.2 pixels in a dark environment. The average error of target tracking in high-speed motion scenes and reflective environments is 4.86 pixels and 2.88 pixels, respectively. This research has practical reference value for the digital and intelligent development of digital video surveillance systems.

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Section: Uses the Brightness Change Of The Pixelmentioning

confidence: 99%

Computer Digital Technology Combined with Dynamic Visual Communication Sensors in Target Tracking with Big Data

Han

Zhao

2022

Mathematical Problems in Engineering

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“…Renaud et al [19] used a single camera to reconstruct 3D shapes by projecting the FE modal shapes. In contrast, a still camera was used by Javh et al [20] and Gorjup et al [21] to identify 2D [20] and 3D [21] full-field deflection shapes, respectively. Chen et al [22] used a full-field measurement to identify the dynamics of a non-linear structure.…”

Section: Introductionmentioning

confidence: 99%

Multi-level curvature-based parametrization and model updating using a 3D full-field response

Zaletelj

Gorjup²,

Slavič³

et al. 2023

Mechanical Systems and Signal Processing

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“…As a universal algorithm, the gradient-based optical flow and its variants are also widely used in image-based modal analysis [25]- [27]. Besides the typical LK-optical flow method, the simplified gradient-based optical flow is developed recently [28], which takes a subset or a pixel as an independent sensor and linearizes the relation between displacement and intensity.…”

Section: Introductionmentioning

confidence: 99%

Structural vibration mode identification from high-speed camera footages using an adaptive spatial filtering approach

Feng

Deng

et al. 2022

Mechanical Systems and Signal Processing

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Still-camera multiview Spectral Optical Flow Imaging for 3D operating-deflection-shape identification

Cited by 31 publications

References 42 publications

Computer Digital Technology Combined with Dynamic Visual Communication Sensors in Target Tracking with Big Data

Computer Digital Technology Combined with Dynamic Visual Communication Sensors in Target Tracking with Big Data

Multi-level curvature-based parametrization and model updating using a 3D full-field response

Structural vibration mode identification from high-speed camera footages using an adaptive spatial filtering approach

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