Understanding interactions and guiding visual surveillance by tracking attention

dc.contributor.authorReid, I.
dc.contributor.authorBenfold, B.
dc.contributor.authorPatron-Perez, A.
dc.contributor.authorSommerlade, E.
dc.contributor.conferenceAsian Conference on Computer Vision (ACCV) (8 Nov 2010 - 9 Nov 2010 : Queenstown, New Zealand)
dc.contributor.editorKoch, R.
dc.contributor.editorHuang, F.
dc.date.issued2011
dc.description.abstractThe central tenet of this paper is that by determining where people are looking, other tasks involved with understanding and interrogating a scene are simplified. To this end we describe a fully automatic method to determine a person’s attention based on real-time visual tracking of their head and a coarse classification of their head pose. We estimate the head pose, or coarse gaze, using randomised ferns with decision branches based on both histograms of gradient orientations and colour based features. We use the coarse gaze for three applications to demonstrate its value: (i) we show how by building static and temporally varying maps of areas where people look we are able to identify interesting regions; (ii) we show how by determining the gaze of people in the scene we can more effectively control a multi-camera surveillance system to acquire faces for identification; (iii) we show how by identifying where people are looking we can more effectively classify human interactions.
dc.description.statementofresponsibilityIan Reid, Ben Benfold, Alonso Patron, and Eric Sommerlade
dc.identifier.citationLecture Notes in Artificial Intelligence, 2011 / Koch, R., Huang, F. (ed./s), vol.6468 LNCS, iss.PART1, pp.380-389
dc.identifier.doi10.1007/978-3-642-22822-3_38
dc.identifier.isbn9783642228216
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.orcidReid, I. [0000-0001-7790-6423]
dc.identifier.urihttp://hdl.handle.net/2440/88029
dc.language.isoen
dc.publisherSpringer Berlin Heidelberg
dc.publisher.placeGermany
dc.relation.ispartofseriesLecture Notes in Computer Science; 6468
dc.rights© Springer-Verlag Berlin Heidelberg 2011
dc.source.urihttps://doi.org/10.1007/978-3-642-22822-3_38
dc.titleUnderstanding interactions and guiding visual surveillance by tracking attention
dc.typeConference paper
pubs.publication-statusPublished

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