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dc.contributor.authorCabrera-Quiros, Laura
dc.contributor.authorHung, Hayley
dc.date.accessioned2018-08-24T21:12:19Z
dc.date.available2018-08-24T21:12:19Z
dc.date.issued2016
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84994560089&doi=10.1145%2f2964284.2967224&partnerID=40&md5=69acfe08b648a6b2a94afe55e93a0516es
dc.identifier.citationCabrera-Quiros, L., & Hung, H. (2016). Who is where? Matching people in video to wearable acceleration during crowded mingling events. MM 2016 - Proceedings of the 2016 ACM Multimedia Conference.es
dc.identifier.urihttps://hdl.handle.net/2238/9954
dc.descriptionConferenciaes
dc.description.abstractWe address the challenging problem of associating acceler- ation data from a wearable sensor with the corresponding spatio-temporal region of a person in video during crowded mingling scenarios. This is an important rst step for multi- sensor behavior analysis using these two modalities. Clearly, as the numbers of people in a scene increases, there is also a need to robustly and automatically associate a region of the video with each person's device. We propose a hierarchi- cal association approach which exploits the spatial context of the scene, outperforming the state-of-the-art approaches signi cantly. Moreover, we present experiments on match- ing from 3 to more than 130 acceleration and video streams which, to our knowledge, is signi cantly larger than prior works where only up to 5 device streams are associated.es
dc.language.isoenges
dc.publisherMM 2016 - Proceedings of the 2016 ACM Multimedia Conferencees
dc.relation.hasversion10.1145/2964284.2967224es
dc.sourceMM 2016 - Proceedings of the 2016 ACM Multimedia Conferencees
dc.subjectMezclases
dc.subjectSensoreses
dc.subjectVisión artificiales
dc.subjectAsociaciónes
dc.subjectAceleradoreses
dc.subjectResearch Subject Categories::TECHNOLOGY::Electrical engineering, electronics and photonicses
dc.titleWho is where? Matching people in video to wearable acceleration during crowded mingling eventses
dc.typeinfo:eu-repo/semantics/conferenceObjectes


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