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Biomedical Engineering with Deep Learning based Video Analysis
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Computer Vision with Deep Learning for Human Data Modelling
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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
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
People
Dr Hubert P. H. Shum
- Principal Investigator
Dr Chris G. Willcocks
- Co-Investigator
Prof. Toby P. Breckon
- Contributing Researcher
Dr 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: 10
##
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 RIS
Cite Plain
Cite Wikipedia
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery
Citation: 1
##
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
DOI
Paper
Github
Cite BibTeX
Cite RIS
Cite Plain
Cite Wikipedia
Last updated on 01 July 2022,
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