%0 Journal Article
%T Automatic Face Detection in Video Sequences in Complex Lighting Environments<br>复杂光照环境下视频人脸序列的自动检测方法
%A XIE Qian-ru
%A GENG Guo-hua
%A <br>谢倩茹
%A 耿国华
%J 计算机科学
%D 2011
%I 
%X Auto human face detection from video sequences is the base of studies for human face recognition and track- ing. This paper proposed an efficient and robust method to detect face in vido sequences. The key step of this work is to use the technique of image enhancement to alleviate the impact of human face detection caused by variation illumination such as local shadow and highlight The approach firstly strengthens the edge and detail information of images by means of high-frequency enhanced filtering and uses histogram-based technictue to adjust the brightness of the image,then ap- plies the Gabor wavclet to extract features of images,finally trains samples using the adaboost algorithm and complete face detection. The experimental results show that the approach can detect human face accurately under different light- ing conditions.
%K Face detection
%K Image enhancement
%K Illumination compensation
%K Gabor wavelet
%K Adaboost<br>人脸检测，图像增强，光照补偿，Gabor小波，adaboost
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E79664A6F75D87D8863&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=F3090AE9B60B7ED1&sid=866F8A6B640835A7&eid=1A363081E1FF7014&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0