Self-funded PhD Positions Available
• Computer Vision with Deep Learning for Human Data Modelling• Deep Learning based Computer Graphics for Creating Virtual Characters
Security Technology Research Innovation Grants Programme (S-TRIG)
Tracking Drones Across Different Platforms with Machine Vision
Funding Source: The Catapult Network (S-TRIG), UK
Reference Number: 007CD
Value: £29,500
2020 - 2021
Reference Number: 007CD
Value: £29,500
2020 - 2021
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
People
- Dr Hubert P. H. Shum - Principal Investigator
- Dr Chris G. Willcocks - Co-Investigator
- Prof. Toby P. Breckon - Contributing Researcher
- Daniel Organisciak - Contributing Researcher
- Brian K. S. Isaac-Medina - Research Assistant
- Matthew Poyser - Research Assistant
Organizations
- General Autonomy Ltd. - Project Contractor
YouTube
Publications
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark Citation: 3##
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 Cite-BibTeX Cite-EndNote Cite-Plain
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 Cite-BibTeX Cite-EndNote Cite-Plain
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 Paper GitHub Cite-BibTeX Cite-EndNote Cite-Plain
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 Paper GitHub Cite-BibTeX Cite-EndNote Cite-Plain
Last updated on 11 January 2022, RSS Feeds