| 基于改进 Adaboost 的行人快速检测与定位算法 |
| |
| 引用本文： | 游峰,;李福樑,;冯琼莹,;张荣辉,;裴玉龙,;徐建闽.基于改进 Adaboost 的行人快速检测与定位算法[J].交通信息与安全,2014,0(2):1-5. |
| |
| 作者姓名： | 游峰 ;李福樑 ;冯琼莹 ;张荣辉 ;裴玉龙 ;徐建闽 |
| |
| 作者单位： | 华南理工大学土木与交通学院 广州 510640 |
| |
| 基金项目： | 国家自然科学基金项目（批准号：51108192、51208500）、中国博士后科学基金项目（批准号：2012M521824、2013T60904）、中央高校基本科研业务项目（批准号：2012ZZ0100、2014ZG0029）资助 |
| |
| 摘 要： | 随着智能交通的发展,道路行人主动安全的重要性愈发凸显,且越来越受到国内外研究机构的重视。选取 Harr-like特征,利用积分图快速计算矩形特征,对传统的Adaboost算法引入优化更新权重的方法,提出1种基于级联分类器的行人检测方法,实现行人的实时区域快速检测。实验结果表明,基于改进Adaboost算法的快速行人检测与定位方法实时性强、准确率高,基于该算法的行人快速检测与定位系统可靠性高、鲁棒性强。
|
| 关 键 词： | 行人检测 Adaboost算法 Harr-like特征 级联分类器算法 |
Fast Pedestrian Detection and Localization Based on the Improved Adaboost Algorithm |
| |
| Affiliation: | YOU Feng, LI Fuliang, FENG Qiongying, ZHANG Ronghui, PEI Yulong, XU Jianmin (1. School of Civil Engineering and Traffic College, South China University of Technology, Guangzhou 510640, China; 2. Xinjiang Academy of Communications Science, Ururnqi 830000, China ; 3. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China) |
| |
| Abstract: | With the development of the intelligent transportation system （ITS） ,proactive pedestrian safety protec-tion has become increasingly significant and attracted the attention from many research institutions around the world .A fast pedestrian detection and location method based on the improved Adaboost Algorithm is introduced in this paper .The Haar-like features are selected and integral image is utilized to compute the features .An optimization method of updating the weights is put forward to improve the traditional Adaboost Algorithm .The experimental results show that the fast pedestrian detection and localization method has a better performance in accuracy and robustness . |
| |
| Keywords: | pedestrian detection Adaboost algorithm Harr-like features cascade classifier algorithm |
| 本文献已被 维普 等数据库收录！ |
| 点击此处可从《交通信息与安全》浏览原始摘要信息 |
|
点击此处可从《交通信息与安全》下载全文 |
|
