| EPSRC Reference: |
GR/N17706/01 |
| Title: |
TRAFFIC SIMULATION AND OPTIMISATION ON AN INTELLIGENT VIDEO SURVEILLANCE NETWORK |
| Principal Investigator: |
Tunnicliffe, Dr M |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Faculty of Computing Info System & Maths |
| Organisation: |
Kingston University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2000 |
Ends: |
30 September 2003 |
Value (£): |
62,728
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| EPSRC Research Topic Classifications: |
| Digital Signal Processing |
Networks & Distributed Systems |
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| EPSRC Industrial Sector Classifications: |
| Communications |
Electronics |
| Transport Systems and Vehicles |
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Summary on Grant Application Form |
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To meet increasing demands for affordable, high-quality video surveillance networks, intelligent software is being developed to optimise camera efficiency. The newly emerging remote Intelligent Security Camera (RISC) has the capacity to track moving objects autonomously, with minimal interaction with the central monitoring station and thus creates savings in both bandwidth and operator effort. Since the signals of these cameras must co-traverse a fibre or wireless network environment, a detailed knowledge of their statistical behaviour is essential for future development. The proposed project will begin with an analysis of the output statistics of the RISC camera and their associated coding algorithms, in order to identify and reproduce the underlying statistical processes. The interaction of many such data streams will then be studied in a simulated network environment, which will be configured to represent both fibre-based ATM and wireless networks (the two technologies expected to support the next generation of surveillance systems). The understanding gained from this work will be used to develop recommendations for RISC protocol design, with a view to optimising bandwidth utilisation whilst maintaining adequate noise immunity and video image quality.
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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.kingston.ac.uk |