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    H5-Index: 66^#  Citation: 35^#
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops (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 Paper Github Cite BibTeX Cite RIS Cite Plain Cite Wikipedia

UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery      
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