Paper
12 September 2024 Gate gap detection method based on double checkerboard calibration
Quanlin Yang, Xiaoliang Huang, Dexing Ren, Xiaolong Zhu
Author Affiliations +
Proceedings Volume 13256, Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024); 1325625 (2024) https://doi.org/10.1117/12.3037992
Event: Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024), 2024, Anshan, China
Abstract
The stable closure of the gate affects the safety performance and normal operation of the gate, and it is necessary to detect the gap distance of the closed door, but the direct observation of the gate monitoring image by the naked eye alone cannot achieve high precision and long-term accuracy.In view of the shortcomings of the existing technology, this paper proposes a gate gap detection method based on double checkerboard calibration, which can accurately detect the distance between the two gates and improve the detection accuracy.Compared with traditional methods, the method in this paper can reduce the dependence on gate and camera installation positions, thereby reducing maintenance costs.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Quanlin Yang, Xiaoliang Huang, Dexing Ren, and Xiaolong Zhu "Gate gap detection method based on double checkerboard calibration", Proc. SPIE 13256, Fourth International Conference on Computer Vision and Pattern Analysis (ICCPA 2024), 1325625 (12 September 2024); https://doi.org/10.1117/12.3037992
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KEYWORDS
Cameras

Calibration

Image processing

Imaging systems

Detection and tracking algorithms

Distortion

Image segmentation

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