SiamFF: Visual Tracking With a Siamese Network Combining Information Fusion With Rectangular Window Filtering

SiamFF: Visual Tracking With a Siamese Network Combining Information Fusion With Rectangular Window Filtering

Recently, Siamese trackers have shown excellent performance in both accuracy and speed. However, traditional trackers have poor robustness against similar objects due to the use of single deep features and the limitation of cosine windows. In this paper, a novel Siamese network combining information...

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Bibliographic Details
Main Authors: Yuan Luo, Yuanxiao Cai, Boyu Wang, Jie Wang, Yanjie Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
visual tracking
Siamese network
multilevel fusion
rectangular window filtering
Online Access:https://ieeexplore.ieee.org/document/9125916/

Internet

https://ieeexplore.ieee.org/document/9125916/

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