中南民族大学学报：自然科学版2012，Vol.31Issue(3)：77-80,4.
分散矩形特征结合软级联的人眼检测研究
Study on Eye-Detection Combined Scattered Rectangle Feature with Soft Cascade
党艳军 1舒文斌 1高智勇1
作者信息
- 1. 中南民族大学生物医学工程学院,武汉430074
- 折叠
摘要
Abstract
Optimized scattered rectangle feature combining with soft cascade is used in eye detection. First, because the number of features will explode by using scattered rectangle feature, an optimized solution is proposed. Second, for the increasingly difficulty of cascade classifier training process, a method that the minimum hit rate and the maximum false alarm of every stage is adjusted according to exponential curve has been proposed. The improved methods result in two- thirds fewer training time consume and a higher classifier performance. In eye detection experiments, the results show that the classifier has better classification ability.关键词
AdaBoost级联学习/人眼检测/分散矩形特征/软级联Key words
AdaBoost-cascade learning/eye detection/scattered rectangle feature/soft cascade分类
信息技术与安全科学引用本文复制引用
党艳军,舒文斌,高智勇..分散矩形特征结合软级联的人眼检测研究[J].中南民族大学学报：自然科学版,2012,31(3):77-80,4.
