Performance evaluation of low resolution visual tracking for unmanned aerial vehicles

Yong Wang, Xian Wei*, Hao Shen, Jilin Hu, Lingkun Luo

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)
Original languageEnglish
JournalNeural Computing and Applications
Issue number7
Pages (from-to)2229-2248
Number of pages20
Publication statusPublished - Apr 2021

Bibliographical note

Funding Information:
This work was partially supported by National Science Found for Young Scholars under Grant No. 61806186, State Key Laboratory of Robotics and System (HIT) under Grant No. SKLRS-2019-KF-15, the program ‘Construction of Fujian Research Institute on Intelligent Logistics Industry Technology’ under Grant No. 2018H2001, CAS Pioneer Hundred Talents Program (Type C) under Grant No. 2017-122, and the program ‘Quanzhou Science and Technology Plan’ under Grant No. 2019C112, No. 2019C011R and No. 2019STS08.

Publisher Copyright:
© 2020, Springer-Verlag London Ltd., part of Springer Nature.


  • Fusion algorithm
  • Image enhancement
  • Low resolution dataset
  • UAV tracking


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