| 基于改进AdaBoost算法的行人检测方法 |
| |
| 引用本文： | 何海燕,施培蓓.基于改进AdaBoost算法的行人检测方法[J].安庆师范学院学报(自然科学版),2009,15(3):40-43. |
| |
| 作者姓名： | 何海燕 施培蓓 |
| |
| 作者单位： | 安徽广播影视职业技术学院,信息工程系,安徽,合肥,230022;合肥师范学院,现代教育技术中心,安徽,合肥,230601 |
| |
| 摘 要： | 基于传统AdaBoost算法的识别率和误报率同时低的原因。提出一种改进AdaBoost算法的行人检测方法,采用类Haar特征作为行人特征,引入误报率来更新样本权重,使得识别率降低得更慢,实现一个级联的行人检测分类器。相比于传统AdaBoost算法,改进算法不仅取得较优的识别率,并且可以降低分类器训练的层数。实验证明了改进算法的有效性。
|
| 关 键 词： | 行人检测 AdaBoost 类Haar特征 误报率 |
Pedestrian Detection Method Based on Improved AdaBoost Algorithm |
| |
| HE Hai-yan,SHI Pei-bei.Pedestrian Detection Method Based on Improved AdaBoost Algorithm[J].Journal of Anqing Teachers College(Natural Science Edition),2009,15(3):40-43. |
| |
| Authors: | HE Hai-yan SHI Pei-bei |
| |
| Institution: | 1.Department of Information Engineering;Anhui Broadcasting Movie and Television Vocational College;Hefei 230033;2.Modern Education Technology Center;Hefei Teachers College;Hefei 230601;China |
| |
| Abstract: | The recognition rate and misinformation rate of traditional AdaBoost algorithm have been reduced simultaneously.The article proposes a pedestrian detection method based on the improved AdaBoost algorithm.Haar-like feature is selected as pedestrian feature and the introduction of misinformation rate updates the sample weight which makes recognition rate reduced slowly,the pedestrian detection cascaded classifier is designed.Compared with traditional AdaBoost algorithm,it can get higher recognition rate,and r... |
| |
| Keywords: | AdaBoost |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
