Skin colour-based face detection in colour images

Wen Hsiang Lai, Chang Tsun Li

    Research output: Book chapter/Published conference paperConference paperpeer-review

    17 Citations (Scopus)

    Abstract

    We propose in this work a method for detecting faces in colour images with complex backgrounds. The approach starts with the transformation of the image pixels from the RGB colour space to the chrominance space (YCbCr). Secondly, a Gaussian model is fitted on the transformed image in order to calculate the likelihood of skin for each pixel and to create a likelihood image. Thirdly, by thresholding the likelihood image, skin pixels are segmented to form a binary skin map, which contains the candidate face regions. Finally, a verification process is carried out to determine whether these candidate face regions are real faces or not.

    Original languageEnglish
    Title of host publicationProceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
    DOIs
    Publication statusPublished - 2006
    EventIEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 - Sydney, NSW, Australia
    Duration: 22 Nov 200624 Nov 2006

    Conference

    ConferenceIEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
    Country/TerritoryAustralia
    CitySydney, NSW
    Period22/11/0624/11/06

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