基于可变形部件模型的驾驶员人脸检测  

Driver Face Detection Based on Deformable Part-Based Model

作　　者：赵猛 张贺 曹茂永 白培瑞 王洋 裴明涛[3] ZHAO Meng;ZHANG He;CAO Mao-yong;BAI Pei-rui;WANG Yang;PEI Ming-tao(College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, Shandong 266590, China;College of Electronic, Communication and Physics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China;Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China)

机构地区：[1]山东科技大学电气与自动化工程学院,山东青岛266590 [2]山东科技大学电子通信与物理学院,山东青岛266590 [3]北京理工大学计算机学院智能信息技术北京市重点实验室,北京100081

出　　处：《北京理工大学学报》2018年第4期393-397,共5页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金资助项目(61471225);山东科技大学人才引进科研启动基金资助项目(2014RCJJ055)

摘　　要：交通监控中车辆驾驶室内环境较为复杂,如光线暗、遮挡、分辨率低等,现有的人脸检测方法效果不佳.提出了一种基于可变形部件模型的驾驶员人脸检测方法.通过提取聚合通道特征(局部二值模式和梯度方向直方图),得到候选人脸目标.基于监控图像中车牌与驾驶员人脸的相对位置存在比较固定的模式,将车牌与驾驶员人脸看作是可变形部件模型中的两个部件,用于验证车牌和候选目标相对位置关系的合理性,从而确定驾驶员人脸的位置.实验结果表明提出的方法提高了检测准确率和综合性能指标,有效地滤除了人脸虚警,且召回率影响较小.To solve the problem of detecting driver faces from cabs images taken by traffic cameras,a driver face detection method was proposed based on deformable part-based model,overcoming the condition influence such as dim light,occlusion and low resolution in cabs.Firstly,extracting aggregate channel features（local binary pattern and histogram of oriented gradient）,the candidate faces were obtained.Then,considering the relative settled position between the license plate and driver face,the driver face and plate were taken as two deformable parts of a faceplate couple based on the concept of deformable part-based model,and the ubiety of two parts was used to determine the position of the candidate face.Experimental results show that the proposed method can improve the detection accuracy and overall performance,effectively filter out the false face alarm,and the recall rate is less affected.

关 键 词：驾驶员人脸检测 聚合通道特征 可变形部件模型 交通视频监控 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]