关键词: 人脸检测, 肤色分割, 可调节的结构元素, AdaBoost算法, 级联分类器

Abstract: Face detection based on skin color has a higher detection rate, but it also has a higher false detection rate. AdaBoost face detection algorithm is a fundamental solution to the real-time issue, but its detection rate is not satisfactory. For these reasons, the algorithm that combined skin color division and AdaBoost method was proposed. Firstly, color division was used for rough location of human faces, and after that the candidate region was put as the input of AdaBoost face detection window. In the pretreatment processing, the structure of adjustable elements was used to solve the problem that the human faces were lost because of the different size in the different images. The experimental results show that the proposed method improves the detection rate and also reduces the false rate.

Key words: face detection, skin color division, adjustable structural element, AdaBoost algorithm, cascade classifier