Metrics Performance Analysis of Optical Flow

被引:1
作者
Alhersh, Taha [1 ]
Belhaouari, Samir Brahim [2 ]
Stuckenschmidt, Heiner [1 ]
机构
[1] Univ Mannheim, Data & Web Sci Grp, Mannheim, Germany
[2] Hamad Bin Khalifa Univ, Coll Sci & Engn, Doha, Qatar
来源
VISAPP: PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 4: VISAPP | 2020年
关键词
Performance Analysis; Optical Flow; Metrics; COMPUTATION;
D O I
10.5220/0008936207490758
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:749 / 758
页数:10
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