说明：  Adaboost算法的基本思想是:利用大量的分类能力一般的弱分类器(weakerifier)通过一定的方法叠加(boost)起来，构成一个分类能力很强的强分类器眼eClassifier)，再将将若干个强分类器串联成为分级分类器(ClassifierCaseade)图像搜索检测。本文就是利用Adaboost算法将由类haar特征生成的弱分类器成为强分类器，再将强分类器串联成为分级分类器。
(The basic idea of ​ ​ Adaboost algorithm is: classification ability of a large number of weak classifier (weakerifier) ​ ​ superimposed by a certain method (boost) together constitute a classification of very strong classifier the eye eClassifier), then will a number of strong The classifiers series Classification (ClassifierCaseade) image search detection. This article is the use of a weak classifier Adaboost algorithm will be generated by the class of haar features a strong classifier, then the strong classifier in series to become a hierarchical classifier.)