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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

  • DOI - Digital Object Identifier

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

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

  • e-ISSN

  • 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