EPSRC Reference: |
GR/M29436/01 |
Title: |
ASSESSMENT OF IMAGE PROCESSING TECHNIQUES AS A MEANS OF IMPROVING PERSONAL SECURITY IN PUBLIC TRANSPORT |
Principal Investigator: |
Velastin, Professor SA |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Electronic Engineering |
Organisation: |
Kings College London |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
31 March 1999 |
Ends: |
30 September 2001 |
Value (£): |
91,121
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EPSRC Research Topic Classifications: |
Image & Vision Computing |
Transport Ops & Management |
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EPSRC Industrial Sector Classifications: |
Transport Systems and Vehicles |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
This project is proposed in the context of policies to encourage use of public transport and the reluctance of some potential passengers because of actual and perceived threats to their personal security. Increasing numbers of CCTV cameras are being installed partly to counter such threats, but the staff effort required to monitor the resulting flow of images is prohibitive, so that the certainty of prompt response to an incident picked up in camera is impaired. Automation of monitoring to bring suspicious images to the prompt attention of staff has the potential to overcome this limitation. This research will develop techniques for this purpose.Priorities for detection of threatening behaviour will be identified with the help of beneficiaries through an External Project Advisory Group and a library of video-recordings of such behaviour. Previous experience analysing images of pedestrians using public transport facilities will be used to select situations with potential for automatic detection. Image analysis methods previously developed by the investigators and their team will be adapted and extended to apply to these situations. Application-specific techniques of image interpretation will be developed and implemented in demonstrators which will be tested on video-recordings from the library in close consultation with the beneficiaries.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
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