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AuthorReuter, Stephandc.contributor.author
AuthorBa-Tuong Vodc.contributor.author
AuthorBa-Ngu Vodc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2018-05-25T07:20:00Zdc.date.accessioned
Available in OPARU since2018-05-25T07:20:00Zdc.date.available
Date of first publication2014dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordRandom finite setdc.subject
Keywordlabeled multi-Bernoullidc.subject
KeywordBayesian estimationdc.subject
Keywordtarget trackingdc.subject
Keywordhypothesis density filterdc.subject
Keywordmultitargetdc.subject
Keywordimplementationsdc.subject
Keywordpathsdc.subject
Keywordorderdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleMulti-Object Tracking Using Labeled Multi-Bernoulli Random Finite Setsdc.title
Resource typeBeitrag zu einer Konferenzdc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mess-, Regel- und Mikrotechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
Source - Title of source2014 17th International Conference on Information Fusion (Fusion)source.title
Source - PublisherNew York, NYsource.publisherPlace
Source - Place of publicationIEEEsource.publisher
Source - Year2014source.year
Conference name17th International Conference on Information Fusion (FUSION)uulm.conferenceName
Conference placeSalamanca, Spainuulm.conferencePlace
Conference start date2014-07-07uulm.conferenceStartDate
Conference end date2014-07-10uulm.conferenceEndDate
Open AccessNouulm.OA
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000363896100172uulm.identifier.wos
University Bibliographyjauulm.unibibliographie


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