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  

A Survey of Computer Vision Based Pedestrian Detection for Driver Assistance Systems

作　　者：贾慧星[1] 章毓晋[1] 

机构地区：[1]清华大学电子工程系,北京100084

出　　处：《自动化学报》2007年第1期84-90,共7页Acta Automatica Sinica

基　　金：国家自然科学基金(60573148);教育部高等学校博士学科点专项科研基金(20060003102)资助~~

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.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 difficulties 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.

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 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]