MEDUSA Multi Environment Deployable Universal Software Application
Lead Research Organisation:
University of Brighton
Department Name: Sch of Applied Social Sciences
Abstract
A key factor in reducing potential gun crime is to detect someone carrying a gun before they can commit a criminal act. This detection can be achieved by the existing, and widespread, CCTV camera network in the UK. However, the performance of operators in interpreting CCTV imagery is variable as they are trying to detect essentially a very rare threat event. Additionally, current automated systems for detecting possible anomalous behaviour have been found to have varying success. We propose the development of a new machine learning system for the detection of individuals carrying guns which will combine both human and machine-based factors. Using selected CCTV footage which depicts people carrying concealed guns, and other control individuals, the proposal will establish what overt and covert cues (essentially conscious and subconscious cues) experienced CCTV operators actually attend to when identifying potential gun-carrying individuals from such CCTV imagery. In parallel, a machine learning approach will establish the machine recognised cues for such individuals. The separate human and machine cues will then be combined to form a new machine learning approach which will be fully tested. The system will be capable of learning and reacting to local gun crime factors which will aid its usefulness and deployment capability.
Organisations
- University of Brighton (Lead Research Organisation)
- Greater Manchester Police (Collaboration, Project Partner)
- Forensic Alliance (Collaboration)
- Association of Chief Police Officers (ACPO) (Collaboration)
- CCTV User Group (Collaboration)
- Royal Armouries (Collaboration, Project Partner)
- Metropolitan Police Service (Collaboration, Project Partner)
- CCTV User Group (United Kingdom) (Project Partner)
- Forensic Alliance Ltd (Project Partner)
- ACPO CCTV/ Video Working Group (Project Partner)
People |
ORCID iD |
Peter Squires (Principal Investigator) |
Publications
Cavalcanti R
(2012)
Riotous connections? Roxy Cavalcanti, Carlie Goldsmith, Lynda Measor and Peter Squires review research into the experiences, connections and disconnections, of young people
in Criminal Justice Matters
Lea J
(2016)
Gun Crime in Global Contexts. By Peter Squires (Routledge, 2014, 400pp. £29.99)
in British Journal of Criminology
Description | ACPO CCTV/ Video Working Group |
Organisation | Association of Chief Police Officers (ACPO) |
Department | CCTV/Video Working Group |
Country | United Kingdom |
Sector | Public |
Start Year | 2006 |
Description | CCTV User Group |
Organisation | CCTV User Group |
Country | United Kingdom |
Sector | Charity/Non Profit |
Start Year | 2006 |
Description | Forensic Alliance Ltd |
Organisation | Forensic Alliance |
Country | Canada |
Sector | Private |
Start Year | 2006 |
Description | Greater Manchester Police (The) |
Organisation | Greater Manchester Police |
Country | United Kingdom |
Sector | Public |
Start Year | 2006 |
Description | Metropolitan Police Service |
Organisation | Metropolitan Police Service |
Country | United Kingdom |
Sector | Public |
Start Year | 2006 |
Description | National Firearms Centre |
Organisation | National Firearms Centre |
Country | United Kingdom |
Sector | Charity/Non Profit |
Start Year | 2006 |