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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F08%3APU86437%21RIV10-MSM-26230___
rdf:type
n13:Vysledek skos:Concept
dcterms:description
This paper presents a method for statistical modeling and classification of motion trajectories using Hidden Markov Models. Mass recordings from visual surveillance&nbsp; are processed to extract objects trajectories. Hidden Markov Models of classes of behaviour are created upon some annotated trajectories. In this way, information about complex object behaviour of objects can be discovered.<br><br>Additionally, an experiment shows the successful application of Hidden Markov Models on trajectories of people in an underground station in Roma. Finally, a comparison of efficiency on different data sets, is discussed. This paper presents a method for statistical modeling and classification of motion trajectories using Hidden Markov Models. Mass recordings from visual surveillance&nbsp; are processed to extract objects trajectories. Hidden Markov Models of classes of behaviour are created upon some annotated trajectories. In this way, information about complex object behaviour of objects can be discovered.<br><br>Additionally, an experiment shows the successful application of Hidden Markov Models on trajectories of people in an underground station in Roma. Finally, a comparison of efficiency on different data sets, is discussed.
dcterms:title
Trajectory classification based on Hidden Markov Models Trajectory classification based on Hidden Markov Models
skos:prefLabel
Trajectory classification based on Hidden Markov Models Trajectory classification based on Hidden Markov Models
skos:notation
RIV/00216305:26230/08:PU86437!RIV10-MSM-26230___
n4:aktivita
n20:P
n4:aktivity
P(LC06008)
n4:dodaniDat
n11:2010
n4:domaciTvurceVysledku
n9:6343600 n9:4652738
n4:druhVysledku
n16:D
n4:duvernostUdaju
n7:S
n4:entitaPredkladatele
n12:predkladatel
n4:idSjednocenehoVysledku
400374
n4:idVysledku
RIV/00216305:26230/08:PU86437
n4:jazykVysledku
n18:eng
n4:klicovaSlova
HMM, Trajectory, Classification<br>
n4:klicoveSlovo
n6:Trajectory n6:HMM n6:Classification%3Cbr%3E
n4:kontrolniKodProRIV
[9DDE9C29260B]
n4:mistoKonaniAkce
Moskva
n4:mistoVydani
Moscow
n4:nazevZdroje
Proceedings of 18th International Conference on Computer Graphics and Vision
n4:obor
n17:JC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n21:LC06008
n4:rokUplatneniVysledku
n11:2008
n4:tvurceVysledku
Mlích, Jozef Chmelař, Petr
n4:typAkce
n19:WRD
n4:zahajeniAkce
2008-06-23+02:00
s:numberOfPages
5
n15:hasPublisher
Lomonosov Moscow State University
n5:isbn
978-5-9556-0112-0
n14:organizacniJednotka
26230