Boosting nested cascade detector for multi-view face detection

A novel nested cascade detector for multi-view face detection is presented. This nested cascade is learned by Schapire and Singer´s to improved boosting algorithms that use real-valued confidence-rated weak classifiers (Schapire, R. E. and Singer, Y, 1999), where we use confidence-rated look-up-table (LUT) weak classifiers based on Haar features. Experiments show the system performance is significantly improved compared with previous methods.