多特征双重匹配验证的驾驶员脸部融合检测  

Face Fusion Detection of Multi-feature and Double Matching Verification for Driver

作　　者：孙伟[1,2] 张为公[1] 张小瑞[1,2] 陈刚[1] 吕成绪[1] 

机构地区：[1]东南大学仪器科学与工程学院,南京210096 [2]南京信息工程大学信息与控制学院,南京210044

出　　处：《光电工程》2009年第11期128-134,共7页Opto-Electronic Engineering

基　　金：教育部博士点基金项目(200802861061);江苏省交通科学研究计划项目(08X09)

摘　　要：针对基于单一特征驾驶员脸部检测算法在检测精度和可靠性方面的局限性,提出了一种新颖的驾驶员脸部检测融合算法。首先采用改进的基于Haar-like特征的人脸检测算法在整幅图像上检测出可能存在的初始人脸区域,然后自适应地扩大初始人脸区域范围,并在此基础上利用基于肤色特征的方法在YCbCr空间上进行脸部的二次检测,最后根据定义的脸部区域重合度和人脸几何先验知识对驾驶员脸部区域进行双重匹配验证进而制定相应的定位规则对脸部进行融合检测。各种复杂路况下的实验结果证明了该算法的有效性。Referring to the limitation of driver face detection algorithm based on single feature in detection precision and reliability, a novel fusion algorithm of driver face detection is proposed. Firstly, an improved face detection algorithm based on Haar-like feature is used to detect the possibly existing face region in the whole image. Then, the detected region is extended adaptively and a face detection algorithm based on skin color feature in YCbCr space is used to detect the face again in the extended area. Finally, double matching verification is made by the defined area coincidence degree and geometric prior knowledge of human face and fusion detection of driver face region is achieved by establishing relevant location rules. Experiment results in various complicated road conditions show the effectiveness of the proposed algorithm.

关 键 词：脸部检测 HAAR-LIKE特征 肤色特征 区域重合度 先验知识 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]