计算机工程2011，Vol.37Issue(8)：158-160,163,4.DOI:10.3969/j.issn.1000-3428.2011.08.054
基于相关性的AdaBoost人脸检测算法
AdaBoost Face Detection Algorithm Based on Correlation
张君昌 1樊伟1
作者信息
- 1. 西北工业大学电子信息学院,西安,710129
- 折叠
摘要
Abstract
In order to enhance the ensemble of the traditional AdaBoost algorithm and reduce its complexity, two improved AdaBoost algorithms are proposed, which are based on the correlation of classifiers. In the algorithm, Q-statistic is added in the training weak classifiers. Every weak classifier is related not only to the current classifier, but also to the previous classifiers as well, which can effectively reduce the weak classifier similarity. Simulations show that the algorithm is of better detection rate and lower false alarm rate.关键词
人脸检测/分类器相关性/自适应提升算法/Q统计量Key words
face detection/ correlation of classifiers/ adaptive boosting algorithm/ Q-statistic分类
信息技术与安全科学引用本文复制引用
张君昌,樊伟..基于相关性的AdaBoost人脸检测算法[J].计算机工程,2011,37(8):158-160,163,4.
