| 基于双阈值的增强型AdaBoost快速算法 |
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| 引用本文： | 严云洋,郭志波,杨静宇. 基于双阈值的增强型AdaBoost快速算法[J]. 计算机工程, 2007, 33(21): 172-174 |
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| 作者姓名： | 严云洋 郭志波 杨静宇 |
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| 作者单位： | 南京理工大学计算机科学与技术学院,南京,210094;淮阴工学院计算机工程系,淮安,223001;南京理工大学计算机科学与技术学院,南京,210094 |
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| 基金项目： | 国家自然科学基金 , 江苏省高校自然科学基金 , 江苏省科技攻关项目 , 淮安市科技发展基金 |
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| 摘 要： | 在应用AdaBoost算法的人脸检测中，针对训练时间太长及权重调整过适应等问题，提出一种基于特征值等分和双阈值的增强型AdaBoost快速训练算法，给出了双阈值的快速搜索方法。在MIT-CBCL人脸和非人脸训练库上对算法进行了实现。实验结果显示，改进后的双阈值增强型AdaBoost算法简化了训练过程，训练速度提高50倍，收敛速度也更快。使用训练得到的检测器对MIT+CMU人脸测试库进行了测试，结果表明，该方法在检测精度和速度等方面都优于单阈值方法。
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| 关 键 词： | dual-AdaBoost 双阈值 人脸检测 |
| 文章编号： | 1000-3428（2007）21-0172-03 |
| 修稿时间： | 2007-06-04 |
Fast Enhanced AdaBoost Algorithm Based on Dual-threshold |
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| YAN Yun-yang,GUO Zhi-bo,YANG Jing-yu. Fast Enhanced AdaBoost Algorithm Based on Dual-threshold[J]. Computer Engineering, 2007, 33(21): 172-174 |
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| Authors: | YAN Yun-yang GUO Zhi-bo YANG Jing-yu |
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| Affiliation: | (1. School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094; 2. Department of Computer Engineering, Huaiyin Institute of Technology, Huai’an 223001) |
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| Abstract: | Aiming at some problems of too much training time and weight adjustment over fitting in face detection by using AdaBoost.This paper proposes enhanced dual-AdaBoost algorithm based on feature-value-division and dual-threshold,which makes training faster and better.It gives a method to get dual-threshold,and presents the improved mode of weight adjustment.Experimental results on MIT-CBCL training data set illustrate that the dual-AdaBoost makes training process converge quickly,and the training time is as 1/50 as before.Experimental results on MIT CMU with the detectors show that the detection speed and precision under the dual-threshold are better than single-threshold method. |
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| Keywords: | dual-AdaBoost dual-threshold face detection |
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