Brian K. S. Isaac-Medina

Durham University
Research Assistant (Co-supervised with )
, 2021 - 2021

Durham University
, United Kingdom

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Grants Involved

The Ministry of Defence (DASA)
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
The Catapult Network (S-TRIG)
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

Publications with the Team

Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
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
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
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  - 
Paper
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
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 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
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 GitHub
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
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
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
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 GitHub

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