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Recovering Evidence from Video by fusing Video Evidence Thesaurus and Video Meta-Data

dirc |ku. TRANSPORT. VEHICLE. VAN. CAR. BIKE. COUPE. HATCHBACK. ESTATE. Centre for Knowledge Management, Department of Computing, School of Electronics and Physical Sciences, University of Surrey. Recovering Evidence from Video by fusing Video Evidence Thesaurus and Video Meta-Data

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Recovering Evidence from Video by fusing Video Evidence Thesaurus and Video Meta-Data

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  1. dirc|ku TRANSPORT VEHICLE VAN CAR BIKE COUPE HATCHBACK ESTATE Centre for Knowledge Management,Department of Computing,School of Electronics and Physical Sciences, University of Surrey Recovering Evidence from Video by fusing Video Evidence Thesaurus and Video Meta-Data An EPSRC Sponsored Project The strategic objective of the REVEAL project is to promote those key technologies which will enable automated extraction of evidence from CCTV archives, and to allow integration within existing HOLMES2 crime management systems. Typical Samples of CCTV Footage “REVEAL will help to ensure that the police service is equipped to exploit opportunities in science and technology to deliver effective policing.” • Interpretation of CCTV video streams: • Improving the effectiveness of CCTV at detecting crime and supporting prosecutions. • Effective use of intelligence-gathering technology. • Maximising the forensic value of evidence. • Effective management of investigations - especially timely collection and management of evidence. • Aims and Objectives: • To develop the Visual Evidence Thesaurus. • Making explicit the link between linguistic and meta-data content. • To develop methods of automatically. characterising CCTV sequence. • To develop a rich Surveillance Meta-data Model. • extracting the semantic landscape. • To develop crowd models. • To develop methods of integrating the linguistic structure and the visual-content through co-learning. REVEAL derives the object hierarchy itself Partners Police Information Technology Organisation Kinston University Police Scientific Development Branch Sira Ltd Research Assistant: David Cheng Ph.D. Students: Meng Zhu Principal Investigator: Khurshid Ahmad Co-Investigator: Bogdan Vrusias REVEAL can learn to link video, image and text automatically by using neural networks. REVEAL, EPSRC, GR/S98443/01: This work has been funded by the UK Engineering and Physical Sciences Council, in collaboration with Kinston University and Sira Ltd, and supported by Police Information Technology Organisation (PITO) and Police Scientific Development Branch (PSDB)

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