摘要
叙述如何在复杂背景下的图像或视频中判断是否有人脸,若有,则统计个数。实现原理是基于AdaBoost算法,提取Haar特征和训练得到的级联分类器对人脸进行识别。改进之处在于动态调整各级联分类器的权重,对识别率高的级联分类器(如正脸级联分类器)加大其权重,识别率低的级联分类器(如侧脸级联分类器)降低其权重。试验结果表明,该方法可以更加快速、更加准确地实现人脸检测,具有较好的实时性。
This article describes how to judge whether there are any faces in the video or image,if there are,it will count out the number of the faces.The principle of implementation is based on AdaBoost algorithm.This paper selectes Haar-like characteristics and trained cascaded classifiers to recognize the faces.The improvment is adjusting weight to every cascaded classifier dynamically,set heavy weight for cascaded classifiers with higher accuracy and low weight for cascaded classifiers with lower accuracy.Experimental results indicate that the method is fast and reliable and meets the requirement of real-time system.
出处
《计算机与现代化》
2010年第1期120-123,127,共5页
Computer and Modernization
