Brian K. S. Isaac-Medina
Research Assistant
, 2021 - 2021
Durham University
, United Kingdom
- Research interests: Computer Vision, Object Detection
- Funded by Dr Shum's 2020 Security Technology Research Innovation Grants Programme project
- Collaborated with General Autonomy Ltd., a start-up drone company.
Grants Involved
Autonomous Persistent Wide Area Surveillance of Human and Vehicle Activity
Defence and Security Accelerator (Ref: DSTL0000007030, ACC6031106): £93,978, Post-Doctoral Research Fellow (PI: Prof. Toby P. Breckon)
Received from The Ministry of Defence (DASA), UK, 2022-2023
Project Page
Defence and Security Accelerator (Ref: DSTL0000007030, ACC6031106): £93,978, Post-Doctoral Research Fellow (PI: Prof. Toby P. Breckon)
Received from The Ministry of Defence (DASA), UK, 2022-2023
Project Page
Tracking Drones Across Different Platforms with Machine Vision
Security Technology Research Innovation Grants Programme (S-TRIG) (Ref: 007CD): £32,727, Research Assistant (PI: Hubert P. H. Shum)
Received from The Catapult Network (S-TRIG), UK, 2020-2021
Project Page
Security Technology Research Innovation Grants Programme (S-TRIG) (Ref: 007CD): £32,727, Research Assistant (PI: Hubert P. H. Shum)
Received from The Catapult Network (S-TRIG), UK, 2020-2021
Project Page
Publications with the Team
Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery H5-Index: 115#
Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei and Toby P. Breckon
Topics: Crowd Modelling, Surveillance, Video Analysis, Environment Sensing
Webpage Cite This Plain Text
Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei and Toby P. Breckon
Topics: Crowd Modelling, Surveillance, Video Analysis, Environment Sensing
Webpage Cite This Plain Text
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei and Toby P. Breckon, "Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery," in CVPRW '23: Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 2995-3005, Vancouver, Canada, IEEE/CVF, Jun 2023.
Bibtex @inproceedings{gaus23region,
author={Gaus, Yona Falinie A. and Bhowmik, Neelanjan and Isaac-Medina, Brian K. S. and Shum, Hubert P. H. and Atapour-Abarghouei, Amir and Breckon, Toby P.},
booktitle={Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
series={CVPRW '23},
title={Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery},
year={2023},
month={6},
pages={2995--3005},
numpages={11},
doi={10.1109/CVPRW59228.2023.00301},
publisher={IEEE/CVF},
location={Vancouver, Canada},
}
RIS author={Gaus, Yona Falinie A. and Bhowmik, Neelanjan and Isaac-Medina, Brian K. S. and Shum, Hubert P. H. and Atapour-Abarghouei, Amir and Breckon, Toby P.},
booktitle={Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
series={CVPRW '23},
title={Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery},
year={2023},
month={6},
pages={2995--3005},
numpages={11},
doi={10.1109/CVPRW59228.2023.00301},
publisher={IEEE/CVF},
location={Vancouver, Canada},
}
TY - CONF
AU - Gaus, Yona Falinie A.
AU - Bhowmik, Neelanjan
AU - Isaac-Medina, Brian K. S.
AU - Shum, Hubert P. H.
AU - Atapour-Abarghouei, Amir
AU - Breckon, Toby P.
T2 - Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
TI - Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
PY - 2023
Y1 - 6 2023
SP - 2995
EP - 3005
DO - 10.1109/CVPRW59228.2023.00301
PB - IEEE/CVF
ER -
PaperAU - Gaus, Yona Falinie A.
AU - Bhowmik, Neelanjan
AU - Isaac-Medina, Brian K. S.
AU - Shum, Hubert P. H.
AU - Atapour-Abarghouei, Amir
AU - Breckon, Toby P.
T2 - Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
TI - Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
PY - 2023
Y1 - 6 2023
SP - 2995
EP - 3005
DO - 10.1109/CVPRW59228.2023.00301
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 -
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark H5-Index: 80# Citation: 90#
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 -
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