Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors

This paper explores the process of designing an automatic multi-sensor drone detection system. Besides the common video and audio sensors, the system also includes a thermal infrared camera, which is shown to be a feasible solution to the drone detection task. Even with slightly lower resolution, th...

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Bibliographic Details
Published in2020 25th International Conference on Pattern Recognition (ICPR) pp. 7265 - 7272
Main Authors Svanstrom, Fredrik, Englund, Cristofer, Alonso-Fernandez, Fernando
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.01.2021
SeriesInternational Conference on Pattern Recognition
Subjects
Cameras
Helicopters
Real-time systems
Sensor fusion
Sensor systems
Streaming media
Thermal sensors
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Summary:This paper explores the process of designing an automatic multi-sensor drone detection system. Besides the common video and audio sensors, the system also includes a thermal infrared camera, which is shown to be a feasible solution to the drone detection task. Even with slightly lower resolution, the performance is just as good as a camera in visible range. The detector performance as a function of the sensor-to-target distance is also investigated. In addition, using sensor fusion, the system is made more robust than the individual sensors, helping to reduce false detections. To counteract the lack of public datasets, a novel video dataset containing 650 annotated infrared and visible videos of drones, birds, airplanes and helicopters is also presented 1.1. https://github.com/DroneDetectionThesis/Drone-detection-dataset. The database is complemented with an audio dataset of the classes drones, helicopters and background noise.
ISBN:1728188083
9781728188089
1728188091
9781728188096
DOI:10.1109/ICPR48806.2021.9413241