Name
Abstract | ||
|---|---|---|
In this paper, we propose a super-telephoto drone surveillance system that can search and track a flying drone at a 1 km distance or more within an area spanning hundreds of square meters. By constructing a mirror-drive high-speed pan-tilt control system with a super-telephoto camera lens, remote drone surveillance becomes possible owing to the acquisition of high spatial resolution images of target objects. We adopted a vibration-based drone localization algorithm that can simultaneously detect fast-rotating drone-propellers in an high-frame-rate video using a pixel-level short-time Fourier transform to achieve robust surveillance under various challenging conditions for super-telephoto video-shooting such as low luminance and heat haze. The effectiveness of the super-telephoto drone tracking system is demonstrated by conducting a drone searching and tracking experiment at a 1 km distance using an 800-mm focal length lens with a mirror-drive video-shooting system. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ROBIO49542.2019.8961695 | ROBIO |
Field | DocType | Citations |
Computer vision,Tracking system,Control engineering,Focal length,Camera lens,Artificial intelligence,Drone,Vibration,Engineering,Control system,Luminance,Image resolution | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nagahiro Fujiwara | 1 | 0 | 0.34 |
| Mingjun Jiang | 2 | 0 | 0.34 |
| Takeshi Takaki | 3 | 222 | 38.04 |
| Idaku Ishii | 4 | 355 | 64.37 |
| Kohei Shimasaki | 5 | 1 | 2.73 |