Deep Deblurring Correlation Filter for Object Tracking

Deep Deblurring Correlation Filter for Object Tracking

Motion blur is a quite tricky issue in object tracking community. In recent years, many trackers have been explored to address this issue without sensational performance. This paper proposes a novel correlation tracking framework with Recurrent Neural Network (RNN) deblurnet and proposal detection t...

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Bibliographic Details
Main Authors: Yu Bai, Tingfa Xu, Bo Huang, Ruoling Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Object tracking
correlation filter
motion blur
RNN-deblurnet
adaptive update
Online Access:https://ieeexplore.ieee.org/document/9058688/

Internet

https://ieeexplore.ieee.org/document/9058688/

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