CORRELATION FILTER BASED UAV TRACKING SYSTEM ON FPGA

Kaiming Yang, Min Xie*, Jiachen An, Xiaofeng Zhang, Hongyan Su, Xiongjun Fu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Vision-based target tracking technology is one of the hotspots in the field of computer vision currently. It is not only widely used in civil fields, such as autonomous driving and traffic supervision, but also in the field of defense, such as battlefield surveillance and missile guidance. Nowadays, UAVs (Unmanned Aerial Vehicle) are more and more widely used in the military field and Counter-UAV system is vital to national security. Accurately UAV tracking is obviously important to the Counter-UAV system. Take the advantages of high real-time, high parallelism and low power consumption of FPGA (Field Programmable Gate Arrays), this paper proposed a small target tracking system of UAV based on FPGA platform which mainly benefits from the correlation filtering algorithm. Tested on 5 sequences of UAV tracking, the average accuracy is more than 97%, and the processing speed is 41 fps.

Original languageEnglish
Title of host publicationIET Conference Proceedings
PublisherInstitution of Engineering and Technology
Pages671-676
Number of pages6
Volume2020
Edition9
ISBN (Electronic)9781839535406
DOIs
Publication statusPublished - 2020
Event5th IET International Radar Conference, IET IRC 2020 - Virtual, Online
Duration: 4 Nov 20206 Nov 2020

Conference

Conference5th IET International Radar Conference, IET IRC 2020
CityVirtual, Online
Period4/11/206/11/20

Keywords

  • CORRELATION FILTER
  • FPGA
  • TARGET TRACKING

Fingerprint

Dive into the research topics of 'CORRELATION FILTER BASED UAV TRACKING SYSTEM ON FPGA'. Together they form a unique fingerprint.

Cite this