Guiding visual surveillance by tracking human attention

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dc.contributor.authorBenfold, B.
dc.contributor.authorReid, I.
dc.contributor.conferenceBritish Machine Vision Conference (20th : 2009 : London, United Kingdom)
dc.date.issued2009
dc.description.abstractWe describe a novel method for directing the attention of an automated surveillance system. Our starting premise is that the attention of people in a scene can be used as an indicator of interesting areas and events. To determine people’s attention from passive visual observations we develop a system for automatic tracking and detection of individual heads to infer their gaze direction. The former is achieved by combining a histogram of oriented gradient (HOG) based head detector with frame-to-frame tracking using multiple point features to provide stable head images. The latter is achieved using a head pose classification method which uses randomised ferns with decision branches based on both HOG and colour based features to determine a coarse gaze direction for each person in the scene. By building both static and temporally varying maps of areas where people look we are able to identify interesting regions.
dc.description.statementofresponsibilityBen Benfold, Ian Reid
dc.description.urihttp://www.bmva.org/bmvc/2009/index.htm
dc.identifier.citationProceedings of the British Machine Vision Conference, 7-10 September 2009 / A. Cavallaro, S. Prince and D. Alexander (eds.): pp.14.1-14.11
dc.identifier.doi10.5244/C.23.14
dc.identifier.isbn1901725391
dc.identifier.orcidReid, I. [0000-0001-7790-6423]
dc.identifier.urihttp://hdl.handle.net/2440/84358
dc.language.isoen
dc.publisherBMVA Press
dc.publisher.placeUnited Kingdom
dc.rights© 2009 The Authors
dc.source.urihttps://doi.org/10.5244/c.23.14
dc.titleGuiding visual surveillance by tracking human attention
dc.typeConference paper
pubs.publication-statusPublished

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