Vision-Based Anti-UAV Detection and Tracking
Dalian University of Technology · National University of Defense Technology
Abstract
Unmanned aerial vehicles (UAV) have been widely used in various fields, and their invasion of security and privacy has aroused social concern. Several detection and tracking systems for UAVs have been introduced in recent years, but most of them are based on radio frequency, radar, and other media. We assume that the field of computer vision is mature enough to detect and track invading UAVs. Thus we propose a visible light mode dataset called Dalian University of Technology Anti-UAV dataset, DUT Anti-UAV for short. It contains a detection dataset with a total of 10,000 images and a tracking dataset with 20 videos that include short-term and long-term sequences. All frames and images are manually annotated…
Citation impact
- FWCI
- 20.60
- Percentile
- 100%
- References
- 64
Authors
4- JZJie ZhaoCorresponding
Dalian University of Technology
- JZJingshu Zhang
Dalian University of Technology
- DLDongdong Li
National University of Defense Technology
- DWDong Wang
Dalian University of Technology
Topics & keywords
- Computer vision
- Artificial intelligence
- Computer science
- Tracking (education)
- Psychology