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
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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
Webpage Cite This Paper