AdaBoost with Totally Corrective Updates for Fast Face Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03103408" target="_blank" >RIV/68407700:21230/04:03103408 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
AdaBoost with Totally Corrective Updates for Fast Face Detection
Original language description
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally corrective algorithm reduces aggressively the upper bound on the training error by correcting coefficients of all weak classifiers. The correction steps are proven to lower the upper bound on the error without increasing computational complexity of the resulting detector. We show experimentally that for the face detection problem, wherelarge training sets are available, the technique does not overfit. A cascaded face detector of the Viola-Jones type is built using AdaBoost with the Totally Corrective Update. The same detection and false positive rates are achieved with a detector thatis 20 perc. faster and consists of only a quarter of the weak classifiers needed for a classifier trained by standard AdaBoost. The latter property facilitates hardware implementation, the former opens scope for the increase in the searc
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
FGR '04: Proceeding of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition
ISBN
0-7695-2122-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
445-450
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Seoul
Event date
May 17, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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