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 language | English |
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Title of host publication | IET Conference Proceedings |
Publisher | Institution of Engineering and Technology |
Pages | 671-676 |
Number of pages | 6 |
Volume | 2020 |
Edition | 9 |
ISBN (Electronic) | 9781839535406 |
DOIs | |
Publication status | Published - 2020 |
Event | 5th IET International Radar Conference, IET IRC 2020 - Virtual, Online Duration: 4 Nov 2020 → 6 Nov 2020 |
Conference
Conference | 5th IET International Radar Conference, IET IRC 2020 |
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City | Virtual, Online |
Period | 4/11/20 → 6/11/20 |
Keywords
- CORRELATION FILTER
- FPGA
- TARGET TRACKING