| EPSRC Reference: |
EP/I001107/1 |
| Title: |
Scene Understanding using New Global Energy Models |
| Principal Investigator: |
Torr, Professor PH |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Faculty of Tech, Design and Environment |
| Organisation: |
Oxford Brookes University |
| Scheme: |
Standard Research |
| Starts: |
07 September 2011 |
Ends: |
30 September 2013 |
Value (£): |
439,228
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| EPSRC Research Topic Classifications: |
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| EPSRC Industrial Sector Classifications: |
| Creative Industries |
Transport Systems and Vehicles |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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13 Jul 2010
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ICT Prioritisation Panel (July 2010)
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Deferred
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07 Sep 2010
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ICT Prioritisation Panel (Sept 2010)
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Announced
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Summary on Grant Application Form |
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This proposal concerns scene understanding from video. Computer vision algorithms for individual tasks such as objectrecognition, detection and segmentation has now reached some level of maturity. The next challenge is to integrate all thesealgorithms and address the problem of scene understanding. The problem of scene understanding involves explaining thewhole image by recognizing all the objects of interest within an image and their spatial extent or shape in 3D.The application to drive the research will be the problem of automated understanding of cities from video usingcomputer vision, inspired by the availability of massive new data sets such as that of Google's Street Viewhttp://maps.google.com/help/maps/streetview/, Yotta http://www.yotta.tv/index.php (who have agreed to supply OxfordBrookes with data) and Microsoft's Photosynth http://labs.live.com/photosynth/. The scenario is as follows: a van drivesaround the roads of the UK, in the van are GPS equipment and multiple calibrated cameras, synchronized to capture andstore an image every two metres; giving a massive data set. The task is to recognize objects of interest in the video, fromroad signs and other street furniture, to particular buildings, to allow them to be located exactly on maps of the environment.A second scenario would be to perform scene understanding for indoor scenes such as home or office, with video taken froma normal camera and Z-cam.
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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.brookes.ac.uk |