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HIGH-SPEED DRONE DETECTION BASED ON YOLO-V8open access
- Authors
- Kim, Jun-Hwa; Kim, Namho; Won, Chee Sun
- Issue Date
- 2023
- Publisher
- IEEE
- Keywords
- Drone Detection; Small-object detection; YOLO-V8
- Citation
- ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), v.2023-June
- Indexed
- SCOPUS
- Journal Title
- ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Volume
- 2023-June
- ISSN
- 1520-6149
2379-190X
- Abstract
- Detecting drones in a video is a challenging problem due to their dynamic movements and varying range of scales. Moreover, since drone detection is often required for security, it should be as fast as possible. In this paper, we modify the state-of-the-art YOLO-V8 to achieve fast and reliable drone detection. Specifically, we add Multi-Scale Image Fusion and P2 Layer to the medium-size model (M-model) of YOLO-V8. Our model was evaluated in the 6th WOSDETC challenge. © 2023 IEEE.
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