交通信息与安全Issue(2)：1-5,5.DOI:10.3963/j.issn1674-4861.2014.02.001
基于改进 Adaboost 的行人快速检测与定位算法
Fast Pedestrian Detection and Localization Based on the Improved Adaboost Algorithm
摘要
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 .关键词
行人检测/Adaboost算法/Harr-like特征/级联分类器算法Key words
pedestrian detection/Adaboost algorithm/Harr-like features/cascade classifier algorithm分类
交通工程引用本文复制引用
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,(2):1-5,5.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 （）
