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基于视觉的高速公路目标检测与跟踪系统研究
引用本文:范培蕾 张晓今 廖传锦 寇保华. 基于视觉的高速公路目标检测与跟踪系统研究[J]. 重庆邮电学院学报(自然科学版), 2005, 17(6): 776-779
作者姓名:范培蕾 张晓今 廖传锦 寇保华
作者单位:国防科技大学航天与材料工程学院,湖南长沙410073
摘    要:系统地介绍了智能汽车系统中的目标自动检测与识别部分的工作原理,并利用车载计算机的CCD摄像机对图像实时采集。根据图像的结构化路面信息采用数字图像处理技术对2条车道标志线进行检测与提取,并在此基础上进行目标初始定位与实时跟踪,以保证驾驶员在行驶中及时有效地做出判断,提高自主安全行驶的可靠性。

关 键 词:智能汽车系统 图像处理 目标跟踪
文章编号:1004-5694(2005)06-0776-04
收稿时间:2005-02-21
修稿时间:2005-11-25

Research on system of object detecting and tracing based on vision
FAN Pei-lei, ZHANG Xiao-jin, LIAO Chuan-jin, KOU Bao-hua. Research on system of object detecting and tracing based on vision[J]. Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition), 2005, 17(6): 776-779
Authors:FAN Pei-lei   ZHANG Xiao-jin   LIAO Chuan-jin   KOU Bao-hua
Affiliation:College of Aerospace and material Engineering, NUDT, Changsha 410073 ,P. R. China
Abstract:The principles of the object detecting and recognizing of intelligent transportation system are discussed in detail. And by means of the computer fixed on the vehicle the authors collect the image of lane and object so as to extract the marking lane from the video image to get the position of the object in time and keep tracking with it by using the technology of computer vision and digital image processing, which can make the decision available efficiently while improving the reliance of the automatic steering safely to some extent.
Keywords:intelligent transportation system   image processing   object tracking
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