Adaptive dual fractional‐order variational optical flow model for motion estimation

Adaptive dual fractional‐order variational optical flow model for motion estimation

Insufficient illumination and illumination variation in image sequences make it challenging for algorithms to obtain clear outlines for objects in motion. This study proposes a high‐performance adaptive dual fractional‐order variational optical flow model which could be used to resolve these issues....

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Bibliographic Details
Main Authors: Bin Zhu, Lian‐Fang Tian, Qi‐Liang Du, Qiu‐Xia Wu, Farisi Zeyad Sahl, Yao Yeboah
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:IET Computer Vision
Subjects:
illumination variation
high-performance adaptive dual fractional-order variational optical flow model
fractional differential mask
fractional-order differential mask
motion estimation
image sequences
Online Access:https://doi.org/10.1049/iet-cvi.2018.5285

Internet

https://doi.org/10.1049/iet-cvi.2018.5285

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