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Adaptively Splitted GMM With Feedback Improvement for the Task of Background Subtraction

contributor authorEvangelio, Ruben Heras
contributor authorPatzold, Matthias
contributor authorKeller, Ivo
contributor authorSikora, Thomas
date accessioned2020-03-12T23:54:48Z
date available2020-03-12T23:54:48Z
date issued2014
identifier issn1556-6013
identifier other6778782.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1127844?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAdaptively Splitted GMM With Feedback Improvement for the Task of Background Subtraction
typeJournal Paper
contenttypeMetadata Only
identifier padid8307854
subject keywordsGaussian processes
subject keywordsmixture models
subject keywordsvideo surveillance
subject keywordsadaptively splitted GMM
subject keywordsbackground subtraction
subject keywordsfeedback improvement
subject keywordsmemory requirements
subject keywordsper pixel adaptive Gaussian mixture models
subject keywordsregion analysis based feedback
subject keywordsvideo surveillance
subject keywordsAdaptation models
subject keywordsComputational modeling
subject keywordsConvergence
subject keywordsLicenses
subject keywordsMathematical model
subject keywordsVideo surveillance
subject keywordsGaussian mixture models
subject keywordsbackground subtraction
subject keywordsvideo surveillance
identifier doi10.1109/TIFS.2014.2313919
journal titleInformation Forensics and Security, IEEE Transactions on
journal volume9
journal issue5
filesize2014266
citations0


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