Tracking Drones Across Different Platforms with Machine Vision
Security Technology Research Innovation Grants Programme (S-TRIG)

About the Project

• Providing the UK government with extra capacity to identify and counter hostile drones
• Supported a research project with Chris G. Willcocks, General Autonomy Ltd., Toby P. Breckon and Daniel Organisciak
• Recruited two Research Assistants Brian K. S. Isaac-Medina and Matthew Poyser for developing the project
• A YouTube video demonstrating the project outcomes

Links

Organizations

• General Autonomy Ltd. - Sub-contractor

YouTube

Publications

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark Citation: 23^##
Proceedings of the 2021 International Conference on Computer Vision Workshop on Anti-UAV (ICCVW), 2021
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum
Webpage

arXiv DOI

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UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery Citation: 2^##
Proceedings of the 2022 International Conference on Computer Vision Theory and Applications (VISAPP), 2022
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum
Webpage

arXiv DOI

Paper Github Cite BibTeX Cite RIS Cite Plain

Cite Wikipedia