| EPSRC Reference: |
GR/S63687/01 |
| Title: |
INSIGHT: Video Analysis and Selective Zooming using Semantic Models of Human Presence and Activity |
| Principal Investigator: |
Gong, Professor S |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computer Science |
| Organisation: |
Queen Mary University of London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 January 2004 |
Ends: |
30 June 2007 |
Value (£): |
425,770
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| EPSRC Research Topic Classifications: |
| Fundamentals of Computing |
Image & Vision Computing |
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| EPSRC Industrial Sector Classifications: |
| Creative Industries |
Information Technologies |
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| Panel History: |
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Summary on Grant Application Form |
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develop models for fully automated semantic-tagging of CCTV recordings based on holistic human presence detection and abnormal event / activity recognition, e.g. monitoring unmanned sites and buildings and to significantly reduce the false alarms triggered by existing VIVID systems. develop models for event and activity based visual topic spotting and scene change detection for semantic decomposition and automatic sorting of CCTV recordings over time, e.g. automatically detecting in video aggressive human behaviours on buses, trains or in front of buildings; the detection of an alien object such as a parcel bomb being placed in a public space or the removal of a specific item from a scene. develop algorithms for automated selective zooming and super-resolution in CCTV recordings with variable levels of details, e.g. to synthesise in arbitrary virtual views good-quality dose-up images of a face or vehicle number-plate in order to improve the accuracy of automatic face-recognition and ANPR (Automatic Number Plate Recognition), and to increase the value of imagery evidence captured in low-resolution by CCTV cameras.
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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: |
http://www.eecs.qmul.ac.uk/~sgg/INSIGHT/ |
| Further Information: |
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| Organisation Website: |
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