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(weaker

ifier)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。

-Adaboost algorithm basic idea is: the ability to use the general classification of a large number of weak classifier (weakerifier) through a certain method of superposition (boost), and constitute a strong Category strong classifier eyes eClassifier), then a number of strong Category connected in series to become hierarchical classifier (ClassifierCaseade) image search detection. Adaboost algorithm is to use this article will be generated characteristics category haar weak classifier become strong classifier, and then become a strong tandem Classifier Classifier classification.