Unsupervised RGB-T object tracking with attentional multi-modal feature fusion

RGB-T tracking means that given the object position in the first frame, the tracker is trained to predict the position of the object in consecutive frames by taking full advantage of the complementary information of RGB and thermal infrared images. As the amount of data increases, unsupervised train...

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Vydané v:	Multimedia tools and applications Ročník 82; číslo 15; s. 23595 - 23613
Hlavní autori:	Li, Shenglan, Yao, Rui, Zhou, Yong, Zhu, Hancheng, Liu, Bing, Zhao, Jiaqi, Shao, Zhiwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2023 Springer Nature B.V
Predmet:	Algorithms Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Deep learning Feature extraction Infrared imagery Multimedia Multimedia Information Systems Neural networks Optical tracking Special Purpose and Application-Based Systems Training RGB-T object tracking Attention mechanism Unsupervised learning
ISSN:	1380-7501, 1573-7721
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