Autonomous Persistent Wide Area Surveillance of Human and Vehicle Activity
Defence and Security Accelerator
Funding Source: The Ministry of Defence (DASA), UK
Reference Number: DSTL0000007030, ACC6031106
Value: £93,978
2022 - 2023
Reference Number: DSTL0000007030, ACC6031106
Value: £93,978
2022 - 2023
About the Project
- To enhance the surveillance capacity of the Nuclear Decommissioning Authority, researched and developed a 360-degree thermal surveillance solution.
- Supported a research project with Toby P. Breckon, Amir Atapour-Abarghouei and Neelanjan Bhowmik.
- Recruited two Post-Doctoral Research Fellows Yona Falinie A. Gaus and Brian K. S. Isaac-Medina for system development.
People
- Prof. Hubert P. H. Shum - Co-Investigator
- Prof. Toby P. Breckon - Principal Investigator
- Dr Amir Atapour-Abarghouei - Co-Investigator
- Neelanjan Bhowmik - Contributing Researcher
- Yona Falinie A. Gaus - Post-Doctoral Research Fellow
- Brian K. S. Isaac-Medina - Post-Doctoral Research Fellow
Publications
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 -