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杂志中文名:中国图象图形学报
杂志英文名:Journal of Image and Graphics
主管单位:中国科学院
主办单位:中国科学院遥感应用研究所、中国图象图形学学会 、北京应用物理与计算数学研究所
地址:北京海淀中关村东路95号(北京2728信箱)
邮编:100080
电话:010-82614429;
Email:jig@irsa.ac.cn
ISSN:1006-8961
主编:李小文












车载视觉系统中的行人检测技术综述
引用本文:许腾,黄铁军,田永鸿.车载视觉系统中的行人检测技术综述[J].中国图象图形学报,2013,18(4):359-367.
作者姓名:许腾  黄铁军  田永鸿
作者单位:北京大学信息科学技术学院,北京,100871
基金项目:国家自然科学基金项目(61035001,61072095);霍英东基金项目(122008)
摘    要:作为计算机视觉以及智能车辆领域的一个重要研究方向,车载视觉系统中的行人检测技术近年来得到了业界广泛关注。本文对2005年以来该技术中最重要的两个环节——感兴趣区域分割以及目标识别的研究现状进行综述,首先将感兴趣区域分割的典型方法按照分割所用信息的不同进行分类并对比它们的优缺点,之后对行人目标识别的特征提取、分类器构造以及搜索框架等方面的进展进行总结,最后对未来发展作出展望。

关 键 词:行人检测  车载辅助驾驶系统  感兴趣区域分割  目标识别

Survey on pedestrian detection technology for on-board vision systems
Xu Teng,Huang Tiejun and Tian Yonghong.Survey on pedestrian detection technology for on-board vision systems[J].Journal of Image and Graphics,2013,18(4):359-367.
Authors:Xu Teng  Huang Tiejun and Tian Yonghong
Affiliation:School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China;School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China;School of Electronic Engineering and Computer Science, Peking University, Beijing 100871, China
Abstract:As one of the most important areas of research in the domain of computer vision and intelligent vehicles, pedestrian detection of on-board vision systems has attracted extensive interest from the research community. In order to show the general idea of the latest development of this technology, we focus on the improvement of the two major modules since 2005: regions of interest (ROIs) segmentation and object recognition. First, we classify the typical methods in the field of ROIs segmentation according to the information used in segmentation and analyze their respective pros and cons. Then, we summarize the improvement of object recognition on the feature extraction, classifier construction, and the search framework. Finally, future research trends are proposed.
Keywords:pedestrian detection  driver assistance system  ROIs (regions of interest) segmentation  object recognition
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