Kingston University is heading a major investigation that could help police officers solve crime more quickly. Experts from Kingston’s Digital Imaging Research Centre have joined forces with Surrey University and independent research organisation Sira for a project called REVEAL (Recovering Evidence from Video by Fusing Video Evidence Thesaurus and Video Meta-Data). The partners have been jointly awarded £390,000 from the Engineering and Physical Sciences Research Programme (EPSRC) to find ways to cut the time it takes officers to examine CCTV footage of a crime scene.
Kingston University has received £209,000 for its role in the venture, which is geared to meet the requirements of the Police Information Technology Organisation and Police Scientific Development Branch. During the next three years, the project team hopes to develop a system that will automatically extract and record evidence from CCTV footage. CCTV played a central role in identifying individuals and vehicles involved, Director of Kingston’s Digital Imaging Research Centre Dr Graeme Jones said.
With input from imaging specialists Sira, Dr Jones and his Kingston University colleague Professor Tim Ellis hope to produce a surveillance system that will automatically generate a gallery of suspects’ pictures and vehicle number plates for all moving objects in the footage. The technology would find the clearest image of a person or vehicle and track their movement, even predicting their position when out of the camera’s range. “It will be used by police forces to automatically generate a list of suspects so officers can decide whether they have anything to do with a crime,” Dr Jones explained. “For example, in the case of a car break-in, there might be a description of a suspect wearing red trousers and an approximate time the incident took place. By inputting these details into a computer, officers will be able to pull off a report of all cameras which have recorded this.”
Phil Smith | alfa
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