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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F10%3A00343251%21RIV11-MSM-67985556
rdf:type
skos:Concept n13:Vysledek
dcterms:description
An unsupervised range video segmentation method based on a spatial probabilistic model for intended vehicle-based safety and warning system applications is introduced. Statistical range data discontinuities are represented by a wide-sense Markov model which guides the subsequent line-based region growing process. Single frame segmentations are mutually corrected using the continuity constraint. The resulting segmentation allows tracking moving objects and estimating their distance and velocity. The method is illustrated on synthetic range video data. An unsupervised range video segmentation method based on a spatial probabilistic model for intended vehicle-based safety and warning system applications is introduced. Statistical range data discontinuities are represented by a wide-sense Markov model which guides the subsequent line-based region growing process. Single frame segmentations are mutually corrected using the continuity constraint. The resulting segmentation allows tracking moving objects and estimating their distance and velocity. The method is illustrated on synthetic range video data.
dcterms:title
Range Video Segmentation Range Video Segmentation
skos:prefLabel
Range Video Segmentation Range Video Segmentation
skos:notation
RIV/67985556:_____/10:00343251!RIV11-MSM-67985556
n3:aktivita
n12:Z n12:P
n3:aktivity
P(1M0572), P(2C06019), P(GA102/08/0593), Z(AV0Z10750506)
n3:dodaniDat
n4:2011
n3:domaciTvurceVysledku
n11:4344863 n11:2890542 n11:6544134
n3:druhVysledku
n18:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
283897
n3:idVysledku
RIV/67985556:_____/10:00343251
n3:jazykVysledku
n17:eng
n3:klicovaSlova
Range segmentation; Markov random fields
n3:klicoveSlovo
n16:Range%20segmentation n16:Markov%20random%20fields
n3:kontrolniKodProRIV
[0B362B00EE0D]
n3:mistoKonaniAkce
Kuala Lumpur
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
10th International Conference on Information Sciences, Signal Processing and their Applications
n3:obor
n14:BD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n6:1M0572 n6:GA102%2F08%2F0593 n6:2C06019
n3:rokUplatneniVysledku
n4:2010
n3:tvurceVysledku
Haindl, Michal Holub, Radek Žid, Pavel
n3:typAkce
n19:WRD
n3:zahajeniAkce
2010-05-10+02:00
n3:zamer
n15:AV0Z10750506
s:numberOfPages
4
n7:hasPublisher
IEEE
n21:isbn
978-1-4244-7166-9