现代电子技术2018，Vol.41Issue(7)：58-61,66,5.DOI:10.16652/j.issn.1004-373x.2018.07.015
智能视频监控中基于肤色信息的人脸检测算法研究
Research on human face detection algorithm based on skin color information in intelligent video surveillance
摘要
Abstract
Since the human face detection in intelligent video surveillance is influenced by complex environment and multi-pose human face,a method based on skin color feature algorithm and AdaBoost algorithm is adopted to extract and optimize the respective advantages of the two algorithms. According to the main thought of the method,the skin color feature is used to estab-lish the skin color model,and select the pre-detecting skin color area containing human face for human face sample training. The Haar feature of human face sample is extracted to train the weak classifiers. The iterative method is used to combine different weak classifiers into a strong classifier,so as to form a cascade classifier,with which the skin color region containing human face is detected. The experimental results show this method can improve the efficiency and accuracy of human face detection in intelligent video surveillance,and has strong robustness.关键词
人脸检测/肤色特征/AdaBoost算法/弱分类器训练/级联分类器/视频监控Key words
human face detection/skin color feature/AdaBoost algorithm/weak classifier training/cascade classifier/video surveillance分类
信息技术与安全科学引用本文复制引用
黄知超,张鹏,赵华荣,赵文明..智能视频监控中基于肤色信息的人脸检测算法研究[J].现代电子技术,2018,41(7):58-61,66,5.基金项目
广西教育厅项目(2015JGA202) （2015JGA202）
研究生创新项目(2016YJCX107) Project Supported by Education Department Project of Guangxi(2015JGA202),Graduate Innovation Project(2016YJCX107) （2016YJCX107）
