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车辆辅助驾驶系统中基于计算机视觉的行人检测研究综述
引用本文:贾慧星,章毓晋.车辆辅助驾驶系统中基于计算机视觉的行人检测研究综述[J].自动化学报,2007,33(1):84-90.
作者姓名:贾慧星  章毓晋
作者单位:1.清华大学电子工程系 北京 100084
基金项目:国家自然科学基金;高等学校博士学科点专项科研项目
摘    要:基于计算机视觉的行人检测由于其在车辆辅助驾驶系统中的重要应用价值成为当前计算机视觉和智能车辆领域最为活跃的研究课题之一. 其核心是利用安装在运动车辆上的摄像机检测行人,从而估计出潜在的危险以便采取策略保护行人.本文在对这一问题存在的困难进行分析的基础上,对相关文献进行综述. 基于视觉的行人检测系统一般包括两个模块:感兴趣区分割和目标识别,本文介绍了这两个模块所采用的一些典型方法,分析了每种方法的原理和优缺点. 最后对性能评估和未来的研究方向等一系列关键问题给予了介绍.

关 键 词:行人检测    车辆辅助驾驶系统    感兴趣区分割    目标识别
收稿时间:2006-03-14
修稿时间:2006-06-17

A Survey of Computer Vision Based Pedestrian Detection for Driver Assistance Systems
JIA Hui-Xing,ZHANG Yu-Jin.A Survey of Computer Vision Based Pedestrian Detection for Driver Assistance Systems[J].Acta Automatica Sinica,2007,33(1):84-90.
Authors:JIA Hui-Xing  ZHANG Yu-Jin
Affiliation:1.Department of Electronic Engineering, Tsinghua University, Beijing 100084
Abstract:Computer vision based pedestrian detection has become one of the hottest topics in the domain of computer vision and intelligent vehicle because of its potential applications in driver assistance systems. It aims at detecting pedestrians appearing ahead of the vehicle using a vehicle-mounted camera, so as to assess the danger and take actions to protect pedestrians in case of danger. In this paper, we give detailed analysis of the diffculties lying in the problem and review most of the literature. A typical pedestrian detection system includes two modules: regions of interest (ROIs) segmentation and object recognition. This paper introduces the principle of typical methods of the two modules and analyzes their respective pros and cons. Finally, we give detailed analysis of performance evaluation and propose some research directions.
Keywords:Pedestrian detection  driver assistance system  ROIs segmentation  object recognition
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