| Attributes | Values |
|---|
| rdf:type
| |
| 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. (en)
- 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. (cs)
|
| 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 (en)
- Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video (cs)
|
| 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 (en)
- Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video (cs)
|
| skos:notation
| - RIV/68407700:21230/08:03150793!RIV09-MSM-21230___
|
| http://linked.open...avai/riv/aktivita
| |
| http://linked.open...avai/riv/aktivity
| |
| http://linked.open...vai/riv/dodaniDat
| |
| http://linked.open...aciTvurceVysledku
| |
| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
| |
| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/08:03150793
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - head tracking; object recognition; object tracking; video indexing (en)
|
| http://linked.open.../riv/klicoveSlovo
| |
| http://linked.open...ontrolniKodProRIV
| |
| http://linked.open...v/mistoKonaniAkce
| |
| http://linked.open...i/riv/mistoVydani
| |
| http://linked.open...i/riv/nazevZdroje
| - Proceedings of Workshop 2008
|
| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Svoboda, Tomáš
- Vlček, Pavol
|
| http://linked.open...vavai/riv/typAkce
| |
| http://linked.open.../riv/zahajeniAkce
| |
| number of pages
| |
| http://purl.org/ne...btex#hasPublisher
| - České vysoké učení technické v Praze
|
| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
| |
| is http://linked.open...avai/riv/vysledek
of | |
![[RDF Data]](/fct/images/sw-rdf-blue.png)
![[cxml]](/fct/images/cxml_doc.png)
![[csv]](/fct/images/csv_doc.png)
![[text]](/fct/images/ntriples_doc.png)
![[turtle]](/fct/images/n3turtle_doc.png)
![[ld+json]](/fct/images/jsonld_doc.png)
![[rdf+json]](/fct/images/json_doc.png)
![[rdf+xml]](/fct/images/xml_doc.png)
![[atom+xml]](/fct/images/atom_doc.png)
![[html]](/fct/images/html_doc.png)