Calibration-Accuracy Measurement in Railway Overlapping Multi-Camera Systems

Martí Sánchez, Martí Sánchez, Nerea Aranjuelo, Jon Ander Iñiguez de Gordoa, Pablo Alonso, Mikel García, Mikel García, Marcos Nieto, Mikel Labayen

2024

Abstract

This paper presents a method for assessing calibration quality in overlapping multi-camera systems used in railway transportation. We propose a novel approach that considers the extrinsic and intrinsic parameters of the cameras and extracts features from their images, providing relevant patterns regarding the pose of the cameras to detect cameras’ calibration misalignment. Three feature extractors, including traditional image processing techniques and deep learning approaches, are evaluated and compared. The extracted features are used to provide a calibration quality metric, enabling real-time detection of camera calibration degradation. Additionally, we introduce a radial grid design that weights the contribution of pixels based on their distance from the camera’s optical center. The results demonstrate the effectiveness of our method in assessing the calibration degree between camera pairs. The findings highlight the superior performance of the deep learning approaches in analyzing the similarity degree between captured images. Overall, our method lays a solid foundation for the development of an online camera calibration pipeline.

Paper Citation

in Harvard Style

Sánchez M., Aranjuelo N., Ander Iñiguez de Gordoa J., Alonso P., García M., Nieto M. and Labayen M. (2024). Calibration-Accuracy Measurement in Railway Overlapping Multi-Camera Systems. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 317-324. DOI: 10.5220/0012308000003660

in Bibtex Style

@conference{visapp24,
author={Martí Sánchez and Nerea Aranjuelo and Jon Ander Iñiguez de Gordoa and Pablo Alonso and Mikel García and Marcos Nieto and Mikel Labayen},
title={Calibration-Accuracy Measurement in Railway Overlapping Multi-Camera Systems},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={317-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012308000003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Calibration-Accuracy Measurement in Railway Overlapping Multi-Camera Systems
SN - 978-989-758-679-8
AU - Sánchez M.
AU - Aranjuelo N.
AU - Ander Iñiguez de Gordoa J.
AU - Alonso P.
AU - García M.
AU - Nieto M.
AU - Labayen M.
PY - 2024
SP - 317
EP - 324
DO - 10.5220/0012308000003660
PB - SciTePress