| EPSRC Reference: |
GR/S98146/01 |
| Title: |
Computer Assisted Prescreening of Video Streams for Unusual Activities |
| Principal Investigator: |
Fisher, Professor R |
| Other Investigators: |
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| Project Partners: |
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| Department: |
Sch of Informatics |
| Organisation: |
University of Edinburgh |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2004 |
Ends: |
31 March 2008 |
Value (£): |
223,530
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Summary on Grant Application Form |
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The project will develop two novel computer-based image analysis processes to prescreen video sequences for abnormal or crime-oriented behaviour. The ultimate goal is to filter out image sequences where uninteresting normal activity Is occurring, as well as the much easier sequences where nothing is occurring.The first process is for detecting, understanding and discriminating between similar types of interactions, such as two people fighting versus meeting and greeting.We propose to investigate and possibly extend the dynamic Hidden Markov Model technique as applied to tracked individuals to solve this problem.The second process is for analysing crowd scenes, where tracking of individuals is only possible over short time periods, and where the overall flow of the crowd is more salient.The goal is to discriminate between normal behaviour, such as people normally exiting from a football match, and abnormal behaviour, such as when people have to divert around and obstacle (fallen person, fight, etc.).We propose to adapt global probabilistic models to flow data obtainable from short-time image tracking.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ed.ac.uk |