An improved technique of skin-color modelling for face detection in video is proposed. The skin-color is modelled as a combination of histogram based and data-mining based approaches. To solve a skin-color modelling problem in the presence of lighting variation, unconstrained environment, variation in races, resulting skin-color model is a product that minimizes registration errors and increases robustness and accuracy of the face detection in video system. The method improves applications performance on 7%, which is a significant advantage.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Face detection in video using combined data-mining and histogram based skin-color model


    Contributors:
    Tsishkou, D. (author) / Hammami, M. (author) / Liming Chen, (author)


    Publication date :

    2003-01-01


    Size :

    292148 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Face Detection in Video using Combined Data-Mining and Histogram Based Skin-Color Model

    Tsishkou, D. / Hammami, M. / Chen, L. et al. | British Library Conference Proceedings | 2003


    Fuzzy color histogram-based video segmentation

    Kucuktunc, O. / Gudukbay, U. / Ulusoy, O. | British Library Online Contents | 2010


    Neural network based skin color model for face detection

    Ming-Jung Seow, / Valaparla, D. / Asari, V.K. | IEEE | 2003


    Neural Network Based Skin Color Model for Face Detection

    Seow, M. / Valaparla, D. / Asari, V. | British Library Conference Proceedings | 2004


    A colour histogram based approach to human face detection

    Fang, J. / Qiu, G. / Institution of Electrical Engineers | British Library Conference Proceedings | 2003