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Authors: Taha Alhersh 1 ; Samir Brahim Belhaouari 2 and Heiner Stuckenschmidt 1

Affiliations: 1 Data and Web Science Group, University of Mannheim, Mannheim, Germany ; 2 College of Science and Engineering, Hamad Bin Khalifa University, Education City, Doha, Qatar

Keyword(s): Performance Analysis, Optical Flow, Metrics.

Abstract: Significant amount of research has been conducted on optical flow estimation in previous decades. However, only limited number of research has been conducted on performance analysis of optical flow. These evaluations have shortcomings and a theoretical justification of using one approach and why is needed. In practice, design choices are often made based on qualitative unmotivated criteria or by trial and error. In this paper, novel optical flow performance metrics are proposed and evaluated alongside with current metrics. Our empirical findings suggest using two new optical flow performance metrics namely: Normalized Euclidean Error (NEE) and Enhanced Normalized Euclidean Error version one (ENEE1) for optical flow performance evaluation with ground truth.

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Paper citation in several formats:
Alhersh, T.; Belhaouari, S. and Stuckenschmidt, H. (2020). Metrics Performance Analysis of Optical Flow. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 749-758. DOI: 10.5220/0008936207490758

@conference{visapp20,
author={Taha Alhersh. and Samir Brahim Belhaouari. and Heiner Stuckenschmidt.},
title={Metrics Performance Analysis of Optical Flow},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={749-758},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008936207490758},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Metrics Performance Analysis of Optical Flow
SN - 978-989-758-402-2
IS - 2184-4321
AU - Alhersh, T.
AU - Belhaouari, S.
AU - Stuckenschmidt, H.
PY - 2020
SP - 749
EP - 758
DO - 10.5220/0008936207490758
PB - SciTePress

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