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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F08%3A03150793%21RIV09-MSM-21230___
rdf:type
n5:Vysledek skos:Concept
dcterms:description
The digital video processing becomes more and more important area of the computer vision. Between the quite developed methods for static images processing and video processing there are many clear differences, for example the lower overall image quality of the video, the higher volume of the video data and the real-time processing requirement. In this work we focus on the task of 3D tracking of the human head for the application in automated indexing of the feature-length movies. One of the most successful real-time tracking algorithms is the CONDENSATION algorithm and a well known approach to face detection is the Viola-Jones detector, based on the AdaBoost learning algorithm. We combine the two approaches and design a 3D head tracking algorithm, which is able to automatically learn the head appearance and track the full-angle head turnaround. The digital video processing becomes more and more important area of the computer vision. Between the quite developed methods for static images processing and video processing there are many clear differences, for example the lower overall image quality of the video, the higher volume of the video data and the real-time processing requirement. In this work we focus on the task of 3D tracking of the human head for the application in automated indexing of the feature-length movies. One of the most successful real-time tracking algorithms is the CONDENSATION algorithm and a well known approach to face detection is the Viola-Jones detector, based on the AdaBoost learning algorithm. We combine the two approaches and design a 3D head tracking algorithm, which is able to automatically learn the head appearance and track the full-angle head turnaround. The digital video processing becomes more and more important area of the computer vision. Between the quite developed methods for static images processing and video processing there are many clear differences, for example the lower overall image quality of the video, the higher volume of the video data and the real-time processing requirement. In this work we focus on the task of 3D tracking of the human head for the application in automated indexing of the feature-length movies. One of the most successful real-time tracking algorithms is the CONDENSATION algorithm and a well known approach to face detection is the Viola-Jones detector, based on the AdaBoost learning algorithm. We combine the two approaches and design a 3D head tracking algorithm, which is able to automatically learn the head appearance and track the full-angle head turnaround.
dcterms:title
Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video
skos:prefLabel
Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video
skos:notation
RIV/68407700:21230/08:03150793!RIV09-MSM-21230___
n3:aktivita
n14:S
n3:aktivity
S
n3:dodaniDat
n4:2009
n3:domaciTvurceVysledku
n8:9397000 n8:8342326
n3:druhVysledku
n17:D
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
360397
n3:idVysledku
RIV/68407700:21230/08:03150793
n3:jazykVysledku
n20:eng
n3:klicovaSlova
head tracking; object recognition; object tracking; video indexing
n3:klicoveSlovo
n7:head%20tracking n7:video%20indexing n7:object%20recognition n7:object%20tracking
n3:kontrolniKodProRIV
[0694990DE15F]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Praha
n3:nazevZdroje
Proceedings of Workshop 2008
n3:obor
n12:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n4:2008
n3:tvurceVysledku
Svoboda, Tomáš Vlček, Pavol
n3:typAkce
n16:EUR
n3:zahajeniAkce
2008-02-18+01:00
s:numberOfPages
2
n18:hasPublisher
České vysoké učení technické v Praze
n13:isbn
978-80-01-04016-4
n10:organizacniJednotka
21230