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Detecting Anomalies from a Multitarget Tracking Output

contributor authorRistic, Branko
date accessioned2020-03-13T00:01:47Z
date available2020-03-13T00:01:47Z
date issued2014
identifier issn0018-9251
identifier other6809953.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1131871?show=full
formatgeneral
languageEnglish
publisherIEEE
titleDetecting Anomalies from a Multitarget Tracking Output
typeJournal Paper
contenttypeMetadata Only
identifier padid8312760
subject keywordsobject tracking
subject keywordstarget tracking
subject keywordsvideo surveillance
subject keywordsPoisson point process
subject keywordsautomatic identification system dataset
subject keywordskinematic states
subject keywordsmaritime surveillance
subject keywordsmultiobject tracking algorithm
subject keywordsmultitarget tracking algorithms
subject keywordsonline anomaly detection
subject keywordssequential estimation
subject keywordsunsupervised learning phase
subject keywordsKernel
subject keywordsKinematics
subject keywordsPartitioning algorithms
subject keywordsSurveillance
subject keywordsTesting
subject keywordsTracking
subject keywordsVectors
identifier doi10.1109/TAES.2013.130377
journal titleAerospace and Electronic Systems, IEEE Transactions on
journal volume50
journal issue1
filesize565058
citations1


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