High-Speed Drone Detection Based On Yolo-V8

Jun-Hwa Kim; Namho Kim; Chee Sun Won

ICASSP 2023accepted0 citations

High-Speed Drone Detection Based On Yolo-V8

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.

BibTeX

@inproceedings{icassp2023_highspeeddronede,
  title = {High-Speed Drone Detection Based On Yolo-V8},
  author = {Jun-Hwa Kim and Namho Kim and Chee Sun Won},
  booktitle = {ICASSP 2023},
  year = {2023}
}