Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/107952
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dc.contributor.authorUtsumi, Y.en
dc.contributor.authorSommerlade, E.en
dc.contributor.authorBellotto, N.en
dc.contributor.authorReid, I.en
dc.date.issued2012en
dc.identifier.citationProceedings of the 2012 IEEE International Conference on Robotics and Automation, 2012 / pp.1238-1245en
dc.identifier.isbn9781467314039en
dc.identifier.issn1050-4729en
dc.identifier.urihttp://hdl.handle.net/2440/107952-
dc.description.abstractWe describe an integrated, real-time multi-camera surveillance system that is able to find and track individuals, acquire and archive facial image sequences, and perform face recognition. The system is based around an inference engine that can extract high-level information from an observed scene, and generate appropriate commands for a set of pan-tiltzoom (PTZ) cameras. The incorporation of a reliable facial recognition into the high-level feedback is a main novelty of our work, showing how high-level understanding of a scene can be used to deploy PTZ sensing resources effectively. The system comprises a distributed camera system using SQL tables as virtual communication channels, Situation Graph Trees for knowledge representation, inference and high-level camera control, and a variety of visual processing algorithms including an on-line acquisition of facial images, and on-line recognition of faces by comparing image sets using subspace distance. We provide an extensive evaluation of this method using our system for both acquisition of training data, and later recognition. A set of experiments in a surveillance scenario show the effectiveness of our approach and its potential for real applications of cognitive vision.en
dc.description.statementofresponsibilityYuzuko Utsumi, Eric Sommerlade, Nicola Bellotto and Ian Reiden
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseriesIEEE International Conference on Robotics and Automation ICRAen
dc.rights© 2012 IEEEen
dc.subjectCameras, face recognition, face, target tracking, databases, visualization, cognitionen
dc.titleCognitive active vision for human identificationen
dc.typeConference paperen
dc.identifier.rmid0030069218en
dc.contributor.conference2012 IEEE International Conference on Robotics and Automation (ICRA 2012) (14 May 2012 - 18 May 2012 : Saint Paul, Minnesota, USA)en
dc.identifier.doi10.1109/ICRA.2012.6224883en
dc.identifier.pubid192371-
pubs.library.collectionComputer Science publicationsen
pubs.library.teamDS06en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidReid, I. [0000-0001-7790-6423]en
Appears in Collections:Computer Science publications

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