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...

詳細記述

書誌詳細

主要な著者:	Yu Bai, Tingfa Xu, Bo Huang, Ruoling Yang
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2020-01-01
シリーズ:	IEEE Access
主題:	Object tracking correlation filter motion blur RNN-deblurnet adaptive update
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9058688/
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