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

About the Project

• 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
• Providing the UK government with extra capacity to identify and counter hostile drones
• A YouTube video demonstrating the project outcomes

Links

Organizations

• General Autonomy Ltd. - Project Contractor

YouTube

Publications

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark Citation: 1^##
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 Paper GitHub Source Code Cite-BibTeX Cite-EndNote Cite-Plain

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification
arXiv Preprint, 2021
Daniel Organisciak, Brian K. S. Isaac-Medina, Matthew Poyser, Shanfeng Hu, Toby P. Breckon and Hubert P. H. Shum
Webpage arXiv Cite-BibTeX Cite-EndNote Cite-Plain