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dc.contributor.authorAbebe, Gen_US
dc.contributor.authorCavallaro, Aen_US
dc.contributor.authorParra, Xen_US
dc.date.accessioned2016-10-20T09:06:11Z
dc.date.available2015-10-23en_US
dc.date.issued2016-08en_US
dc.date.submitted2016-10-12T13:23:55.997Z
dc.identifier.issn1077-3142en_US
dc.identifier.otherC
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/15962
dc.descriptionpublisher: Elsevier articletitle: Robust multi-dimensional motion features for first-person vision activity recognition journaltitle: Computer Vision and Image Understanding articlelink: http://dx.doi.org/10.1016/j.cviu.2015.10.015 content_type: article copyright: © 2015 The Authors. Published by Elsevier Inc.en_US
dc.description.sponsorshipG. Abebe was supported in part by the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments, which is funded by the EACEA Agency of the European Commission under EMJD ICE FPA no 2010–2012. A. Cavallaro acknowledges the support of the Artemis JU and the UK Technology Strategy Board through the COPCAMS Project, under Grant 332913.en_US
dc.format.extent229 - 248en_US
dc.relation.ispartofCOMPUTER VISION AND IMAGE UNDERSTANDINGen_US
dc.rightshttp://dx.doi.org/10.1016/j.cviu.2015.10.015
dc.subjectHuman activity recognitionen_US
dc.subjectFirst-person visionen_US
dc.subjectGrid optical flowen_US
dc.subjectInertial dataen_US
dc.subjectWearable cameraen_US
dc.titleRobust multi-dimensional motion features for first-person vision activity recognitionen_US
dc.typeArticle
dc.rights.holder© 2015 The Authors. Published by Elsevier Inc.
dc.identifier.doi10.1016/j.cviu.2015.10.015en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000378471300017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNo embargoen_US
pubs.publication-statusPublisheden_US
pubs.volume149en_US


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