A cascade detector for rapid face detection

In recent years, LBP feature based SVM detector and Haar feature based cascade detector are the two types of efficient detectors for face detection. In this paper, we proposed to improve the performance on Haar feature based cascade detector. First, we describe a new feature for cascade detector. The feature is called Separate Haar Feature. Secondly, we describe a new decision algorithm in cascade detection to improve the detection rate. There are three key contributions. The first is “Separate Haar Feature”, which adds a don´t-care area between the rectangles of Haar Feature. The second is the algorithm for selecting the best width for this don´t-care area. Finally, we proposed a new decision algorithm which makes the decision by not only a stage result in cascade detection process to improve the detection rate.