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Fast moving object detection using improved Gaussian mixture models

contributor authorSong, Ye
contributor authorFu, Na
contributor authorLi, Xiaoping
contributor authorLiu, Qiongxin
date accessioned2020-03-12T22:27:00Z
date available2020-03-12T22:27:00Z
date issued2014
identifier other7009844.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1083400?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleFast moving object detection using improved Gaussian mixture models
typeConference Paper
contenttypeMetadata Only
identifier padid8220569
subject keywordsprotocols
subject keywordsn telecommunication network topology
subject keywordsn trees (mathematics)
subject keywordsn wireless sensor networks
subject keywordsn CDS
subject keywordsn DGTRec
subject keywordsn EAST protocol
subject keywordsn Euclidian minimal spanning tree
subject keywordsn TC protocol
subject keywordsn WSN
subject keywordsn active nodes
subject keywordsn communication backbone
subject keywordsn connected dominating set
subject keywordsn dynamic global topology recreation
subject keywordsn energy aware spanning tree
subject keywordsn energy balanced topology construction protocol
subject keywordsn energy efficiency
subject keywordsn energy level
subject keywordsn energy metric
subject keywordsn energy utilization reductio
identifier doi10.1109/SNPD.2014.6888704
journal titleudio, Language and Image Processing (ICALIP), 2014 International Conference on
filesize268377
citations0


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