计算机工程与应用Issue(4)：192-195,4.DOI:10.3778/j.issn.1002-8331.1303-0201
视频监控场景下的面部遮挡检测
Face occlusion detection for video surveillance
摘要
Abstract
A facial occlusion detection method for surveillance scene is proposed. Face identifying is based on the AdaBoost algorithm. The face is divided into two blocks, and each block is analyzed to determine whether it is occluded or not. The method detects whether someone enters, then determines whether the face is occluded. The AdaBoost algorithm and sun-glasses feature extraction are used for eye region, and Gaussian color model is used for mouth region. Experiments indicate the proposed method shows high accuracies on the test videos. It’s suitable for bank ATM surveillance scene, and has a high application value.关键词
运动检测/人脸检测/面部遮挡/AdaBoost/视频监控Key words
motion detection/face detection/face occlusion/AdaBoost/video surveillance分类
信息技术与安全科学引用本文复制引用
周仁琴..视频监控场景下的面部遮挡检测[J].计算机工程与应用,2015,(4):192-195,4.基金项目
上海高校选拔培养优秀青年教师科研专项基金及上海农林职业技术学院优秀青年教师培养对象专项科研基金（No.091030）。 （）
