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Robust visual tracking using temporal regularization correlation filter with high-confidence strategy

Xiao-Gang Dong Ke-Xuan Li Hong-Xia Mao Chen Hu Tian Pu

电子科技学刊2025，Vol.23Issue(2)：81-96,16.

电子科技学刊2025，Vol.23Issue(2)：81-96,16.DOI:10.1016/j.jnlest.2025.100314

Robust visual tracking using temporal regularization correlation filter with high-confidence strategy

Xiao-Gang Dong ¹Ke-Xuan Li ²Hong-Xia Mao ¹Chen Hu ²Tian Pu²

作者信息

1. National Key Laboratory of Scattering and Radiation,Beijing,100854,China
2. School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China
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摘要

关键词

Appearance changes/Correlation filter/High-confidence strategy/Temporal regularization/Visual tracking

Key words

Appearance changes/Correlation filter/High-confidence strategy/Temporal regularization/Visual tracking

引用本文复制引用

Xiao-Gang Dong,Ke-Xuan Li,Hong-Xia Mao,Chen Hu,Tian Pu..Robust visual tracking using temporal regularization correlation filter with high-confidence strategy[J].电子科技学刊,2025,23(2):81-96,16.

基金项目

This work was supported by the Natural Science Foundation of Sichuan Province of China under Grant No.2025ZNSFSC0522 and partially supported by the National Natural Science Foundation of China under Grants No.61775030 and No.61571096. （）

电子科技学刊

ISSN：1674-862X

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