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dc.contributor.authorGrinberg, Michael*
dc.date.accessioned2021-02-11T13:31:22Z
dc.date.available2021-02-11T13:31:22Z
dc.date.issued2018*
dc.date.submitted2019-07-28 18:37:01*
dc.identifier34219*
dc.identifier.issn18636489*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/47470
dc.description.abstractThis work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.*
dc.languageEnglish*
dc.relation.ispartofseriesKarlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe*
dc.subjectQA75.5-76.95*
dc.subject.othergestörte Detektionenfeature-based*
dc.subject.otherprobabilistic*
dc.subject.othermerkmalsbasiert*
dc.subject.otherprobabilistisch*
dc.subject.otherDatenassoziation*
dc.subject.otherobject tracking*
dc.subject.othercorrupted detections*
dc.subject.otherdata association*
dc.subject.otherObjektverfolgung*
dc.titleFeature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000081430*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731507819*
oapen.pagesXXII, 256 p.*
oapen.volume35*


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