Details of Grant 

EPSRC Reference:	EP/I001107/2
Title:	Scene Understanding using New Global Energy Models
Principal Investigator:	Torr, Professor PH
Other Investigators:
Researcher Co-Investigators:
Project Partners:	OMG plc
Department:	Engineering Science
Organisation:	University of Oxford
Scheme:	Standard Research
Starts:	01 October 2013	Ends:	29 February 2016	Value (£):	327,699
EPSRC Research Topic Classifications:	Image & Vision Computing
EPSRC Industrial Sector Classifications:
Related Grants:
Panel History:
Summary on Grant Application Form
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.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Organisation Website:	http://www.ox.ac.uk