Tracking Drones Across Different Platforms with Machine Vision
Security Technology Research Innovation Grants Programme (S-TRIG)
About the Project
- Provided the UK government with extra capacity to identify and counter hostile drones (see YouTube demonstration).
- 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.
- Interviewed by the UK Catapult Network on how AI and computer vision enhance security.
- Demonstrated project outcomes in the TRIG showcase event.
People
- Prof. Hubert P. H. Shum - Principal Investigator
- Dr Chris G. Willcocks - Co-Investigator
- Brian K. S. Isaac-Medina - Research Assistant
- Matthew Poyser - Research Assistant
- Prof. Cunjia Liu - Industrial Partner
- Prof. Toby P. Breckon - Contributing Researcher
- Dr Daniel Organisciak - Contributing Researcher
YouTube
Publications
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark H5-Index: 80# Citation: 94#
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
Topics: Surveillance, Video Analysis, Datasets, Air and Space
Webpage Cite This Plain Text
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
Topics: Surveillance, Video Analysis, Datasets, Air and Space
Webpage Cite This Plain Text
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum, "Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark," in ICCVW '21: Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops, pp. 1223-1232, IEEE/CVF, Oct 2021.
Bibtex @inproceedings{issacmedina21unmanned,
author={Isaac-Medina, Brian K. S. and Poyser, Matthew and Organisciak, Daniel and Willcocks, Chris G. and Breckon, Toby P. and Shum, Hubert P. H.},
booktitle={Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops},
series={ICCVW '21},
title={Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark},
year={2021},
month={10},
pages={1223--1232},
numpages={10},
doi={10.1109/ICCVW54120.2021.00142},
publisher={IEEE/CVF},
}
RIS author={Isaac-Medina, Brian K. S. and Poyser, Matthew and Organisciak, Daniel and Willcocks, Chris G. and Breckon, Toby P. and Shum, Hubert P. H.},
booktitle={Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops},
series={ICCVW '21},
title={Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark},
year={2021},
month={10},
pages={1223--1232},
numpages={10},
doi={10.1109/ICCVW54120.2021.00142},
publisher={IEEE/CVF},
}
TY - CONF
AU - Isaac-Medina, Brian K. S.
AU - Poyser, Matthew
AU - Organisciak, Daniel
AU - Willcocks, Chris G.
AU - Breckon, Toby P.
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops
TI - Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
PY - 2021
Y1 - 10 2021
SP - 1223
EP - 1232
DO - 10.1109/ICCVW54120.2021.00142
PB - IEEE/CVF
ER -
Paper GitHubAU - Isaac-Medina, Brian K. S.
AU - Poyser, Matthew
AU - Organisciak, Daniel
AU - Willcocks, Chris G.
AU - Breckon, Toby P.
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops
TI - Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
PY - 2021
Y1 - 10 2021
SP - 1223
EP - 1232
DO - 10.1109/ICCVW54120.2021.00142
PB - IEEE/CVF
ER -
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
Topics: Surveillance, Datasets, Air and Space
Webpage Cite This Plain Text
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
Topics: Surveillance, Datasets, Air and Space
Webpage Cite This Plain Text
Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum, "UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery," in VISAPP '22: Proceedings of the 2022 International Conference on Computer Vision Theory and Applications, pp. 136-146, SciTePress, Feb 2022.
Bibtex @inproceedings{organisciak22uavreid,
author={Organisciak, Daniel and Poyser, Matthew and Alsehaim, Aishah and Hu, Shanfeng and Isaac-Medina, Brian K. S. and Breckon, Toby P. and Shum, Hubert P. H.},
booktitle={Proceedings of the 2022 International Conference on Computer Vision Theory and Applications},
series={VISAPP '22},
title={UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery},
year={2022},
month={2},
pages={136--146},
numpages={11},
doi={10.5220/0010836600003124},
isbn={978-989-758-555-5},
publisher={SciTePress},
}
RIS author={Organisciak, Daniel and Poyser, Matthew and Alsehaim, Aishah and Hu, Shanfeng and Isaac-Medina, Brian K. S. and Breckon, Toby P. and Shum, Hubert P. H.},
booktitle={Proceedings of the 2022 International Conference on Computer Vision Theory and Applications},
series={VISAPP '22},
title={UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery},
year={2022},
month={2},
pages={136--146},
numpages={11},
doi={10.5220/0010836600003124},
isbn={978-989-758-555-5},
publisher={SciTePress},
}
TY - CONF
AU - Organisciak, Daniel
AU - Poyser, Matthew
AU - Alsehaim, Aishah
AU - Hu, Shanfeng
AU - Isaac-Medina, Brian K. S.
AU - Breckon, Toby P.
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2022 International Conference on Computer Vision Theory and Applications
TI - UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
PY - 2022
Y1 - 2 2022
SP - 136
EP - 146
DO - 10.5220/0010836600003124
SN - 978-989-758-555-5
PB - SciTePress
ER -
Paper GitHubAU - Organisciak, Daniel
AU - Poyser, Matthew
AU - Alsehaim, Aishah
AU - Hu, Shanfeng
AU - Isaac-Medina, Brian K. S.
AU - Breckon, Toby P.
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2022 International Conference on Computer Vision Theory and Applications
TI - UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
PY - 2022
Y1 - 2 2022
SP - 136
EP - 146
DO - 10.5220/0010836600003124
SN - 978-989-758-555-5
PB - SciTePress
ER -