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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03150793" target="_blank" >RIV/68407700:21230/08:03150793 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language 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 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.

Czech name

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

Czech 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 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.

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2008

Confidentiality

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

Article name in the collection

Proceedings of Workshop 2008

ISBN

978-80-01-04016-4

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

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Publisher name

Czech Technical University in Prague

Place of publication

Praha

Event location

Praha

Event date

Feb 18, 2008

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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