基于肤色分割和改进的AdaBoostSVM算法的人脸检测

Face detection based on skin color segmentation and improved AdaBoostSVM algorithm

为了提高人脸检测的速度和精度,提出了一种基于肤色分割与改进的AdaBoostSVM算法相结合的人脸检测方法。首先在YCgCr空间通过计算肤色相似度进行肤色分割,进而得到候选的人脸区域。然后,针对人脸检测中正负样本的非对称性对AdaBoostSVM算法进行改进,并用改进的AdaBoostSVM算法对候选人脸进行检测验证。实验结果表明,该方法改善了人脸检测性能,提高了检测速度,能够在复杂背景下进行快速而且较为准确的人脸检测。

A method for face detection based on skin color segmentation and improved AdaBoostSVM algorithm was proposed.This method can improve the performance and speed of face detection.Skin color segmentation was implemented through the calculation of the similarity of skin color in YCgCr space.Then,the face regions of the candidate were obtained.An improved AdaBoostSVM algorithm was proposed to enhance the face detection accuracy according to the asymmetry of the face and non-face samples in face detection,and this algorithm was used to verify the face regions of the candidate.Experiment results show that the proposed algorithm enhances the performance and speed of face detection,and can detect face regions quickly and accurately with complex background.