%0 Journal Article
%T Study of Autotomatic Human Face Detection in Infrared Images Based on Adaboost<br>基于Adaboost算法的红外图像中人脸自动检测方法的研究
%A GUO Ze-cheng
%A XING Chen
%A YUAN Guang-lin
%A WANG Feng
%A <br>郭泽成
%A 邢晨
%A 袁广林
%A 王峰
%J 红外
%D 2010
%I 
%X In order to implement automatic human face detection and tracking in infrared video images, an infrared image detection method based on the Adaboost algorithm is proposed. In the method, the Haar-like characters and integral pictures are used to describe the basic characters of the human face and the Adaboost algorithm and Cascade algorithm are used to improve the veracity and celerity of automatic human face detection. It has a detection velocity of 15frames/s and a detection precision of 98.4%. Experimental results show that the Adaboost algorithm has its predominance in the automatic human face detection in infrared images.
%K automatic detection
%K Adaboost algorithm
%K Haar-Like character<br>自动检测
%K Adaboost算法
%K Haar型特征
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=3723000AE493FCE650601982177048B1&aid=216D46211D86B6EB48E172ACA4F7ECE7&yid=140ECF96957D60B2&vid=4AD960B5AD2D111A&iid=B31275AF3241DB2D&sid=4AD960B5AD2D111A&eid=6209D9E8050195F5&journal_id=1672-8785&journal_name=红外&referenced_num=0&reference_num=5