Skin colour-based face detection in colour images

Wen Hsiang Lai, Chang Tsun Li

Research output: Book chapter/Published conference paperConference paper

14 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
CountryAustralia
CitySydney, NSW
Period22/11/0624/11/06

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    Lai, W. H., & Li, C. T. (2006). Skin colour-based face detection in colour images. In Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 [4020715] https://doi.org/10.1109/AVSS.2006.105