Face detection in intelligent ambiences with colored illumination

C. Katsimerou, J.A. Redi, I.E.J. Heynderickx

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)


Human face detection is an essential step in the creation of intelligent lighting ambiences, but the constantly changing multi-color illumination makes reliable face detection more challenging. Therefore, we introduce a new face detection and localization algorithm, which retains a high performance under various indoor illumination conditions. The method is based on the creation of a robust skin mask, using general color constancy techniques, and the application of the Viola-Jones face detector on the candidate face areas. Extensive experiments, using a challenging state-of-the-art database and a new one with a wider variation in colored illumination and cluttered background, show a significantly better performance for the newly proposed algorithm than for the most widely used face detection algorithms.
Original languageEnglish
Title of host publicationAmbient Intelligence : Software and Applications : 4th International Symposium on Ambient Intelligence (ISAml 2013)
EditorsA. Berlo, van, K. Hallenborg, J.M. Corchado Rodriguez, D.I. Tapia, P. Novais
Place of PublicationSalamanca
Publication statusPublished - 2013

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


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