Cascade scheme face detection using a non-liniar classifier

In this paper, the non-linear fuzzy integral operator is proposed for combining different sets of Haar features for face detection. The proposed method presents a lower false detection rate than the state-of-the-art AdaBoost face detector by a similar true acceptance rate and using the same optimal set of features. Furthermore, this novel face detector seems to have a better generalization capability than the AdaBoost method. Experimental results show a positive face detection rate larger than 92% and a false detection rate of 0.1% when using a four stage cascade scheme.