Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video

Popis výsledku v původním jazyce

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 qualityof 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.

Název v anglickém jazyce

Combination of Stochastic and AdaBoost Approach for Object Tracking and Recognition in Video

Popis výsledku anglicky

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 qualityof 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.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2008

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of Workshop 2008

ISBN

978-80-01-04016-4

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

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Název nakladatele

Czech Technical University in Prague

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

18. 2. 2008

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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