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This paper presents an efficient face detection method suitable for real-time surveillance applications. Improved efficiency is achieved by constraining the search window of an AdaBoost face detector to pre-selected regions. Firstly, the proposed method takes a sparse grid of sample pixels from the image to reduce whole image scan time. A fusion of foreground segmentation and skin colour segmentation is then used to select candidate face regions. Finally, a classifier-based face detector isdoi:10.1109/icspcs.2012.6508005 dblp:conf/icspcs/ChengLFS12 fatcat:ysr6py35hjaevpmlnuvq2cwpoy