Data-set for Event-based Optical Flow Evaluation in Robotics Applications

Mahmoud Z. Khairallah, Fabien Bonardi, David Roussel, Samia Bouchafa

2021

Abstract

Event-Based cameras (also known as Dynamic Vision Sensors ”DVS”) have been used extensively in robotics during the last ten years and have proved the ability to solve many problems encountered in this domain. Their technology is very different from conventional cameras which requires rethinking the existing paradigms and reviewing all the classical image processing and computer vision algorithms. We show in this paper how Event-Based cameras are naturally adapted to estimate on the fly scene gradients and hence the visual flow. Our work starts with a complete study of existing event-based optical flow algorithms that are suitable to be integrated into real-time robotics applications. Then, we provide a data-set that includes different scenarios along with a set of visual flow ground-truth. Finally, we propose an evaluation of existing event-based visual flow algorithms using the proposed ground truth data-set.

Paper Citation

in Harvard Style

Khairallah M., Bonardi F., Roussel D. and Bouchafa S. (2021). Data-set for Event-based Optical Flow Evaluation in Robotics Applications. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 480-489. DOI: 10.5220/0010320304800489

in Bibtex Style

@conference{visapp21,
author={Mahmoud Z. Khairallah and Fabien Bonardi and David Roussel and Samia Bouchafa},
title={Data-set for Event-based Optical Flow Evaluation in Robotics Applications},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={480-489},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010320304800489},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - Data-set for Event-based Optical Flow Evaluation in Robotics Applications
SN - 978-989-758-488-6
AU - Khairallah M.
AU - Bonardi F.
AU - Roussel D.
AU - Bouchafa S.
PY - 2021
SP - 480
EP - 489
DO - 10.5220/0010320304800489
PB - SciTePress