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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F08%3APU80188%21RIV10-MSM-26230___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
This paper presents Hidden Markov Models as a method for statistical modeling and classification of motion. Additionally, an application of Hidden Markov Models on trajectories extracted from video sequences obtained from surveillance cameras is presented. Finally, comparison of efficiency on different data sets, is discussed.<br> This paper presents Hidden Markov Models as a method for statistical modeling and classification of motion. Additionally, an application of Hidden Markov Models on trajectories extracted from video sequences obtained from surveillance cameras is presented. Finally, comparison of efficiency on different data sets, is discussed.<br>
dcterms:title
Trajectory classification Trajectory classification
skos:prefLabel
Trajectory classification Trajectory classification
skos:notation
RIV/00216305:26230/08:PU80188!RIV10-MSM-26230___
n4:aktivita
n9:Z
n4:aktivity
Z(MSM0021630528)
n4:dodaniDat
n15:2010
n4:domaciTvurceVysledku
n16:6343600
n4:druhVysledku
n14:D
n4:duvernostUdaju
n6:S
n4:entitaPredkladatele
n7:predkladatel
n4:idSjednocenehoVysledku
400373
n4:idVysledku
RIV/00216305:26230/08:PU80188
n4:jazykVysledku
n19:eng
n4:klicovaSlova
HMM, trajectory, classification<br>
n4:klicoveSlovo
n12:trajectory n12:HMM n12:classification%3Cbr%3E
n4:kontrolniKodProRIV
[F6F62E354361]
n4:mistoKonaniAkce
FEKT VUT v Brně
n4:mistoVydani
Brno
n4:nazevZdroje
Proceedings of the 14th Conference STUDENT EEICT 2008
n4:obor
n5:JC
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:rokUplatneniVysledku
n15:2008
n4:tvurceVysledku
Mlích, Jozef
n4:typAkce
n20:CST
n4:zahajeniAkce
2008-04-24+02:00
n4:zamer
n8:MSM0021630528
s:numberOfPages
3
n18:hasPublisher
Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
n17:isbn
978-80-214-3615-2
n21:organizacniJednotka
26230