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动态背景下的车辆与车道线检测
引用本文:王晋,胡觉晖,牛蕴婷,田佳璐.动态背景下的车辆与车道线检测[J].桂林电子科技大学学报,2011,31(2):111-114.
作者姓名:王晋  胡觉晖  牛蕴婷  田佳璐
作者单位:武警石家庄指挥学院;昆明理工大学信息与自动化学院;
摘    要:运用运动光流法提取运动车辆,区分运动的前景及相对运动的背景,获取运动目标的运动参数;运用霍夫变换结合最小二乘法实现道路识别与跟踪.实验结果表明,运动光流法能够准确检测不同运动目标并对其进行跟踪,霍夫变换结合最小二乘法对车道线实现了较好的跟踪与预测,实现了预期目标.

关 键 词:车辆检测  车道线检测  光流  霍夫变换  最小二乘法

Vehicle and lane detection in dynamic background
Wang Jin,Hu Juehui,Niu Yunting,Tian Jialu.Vehicle and lane detection in dynamic background[J].Journal of Guilin Institute of Electronic Technology,2011,31(2):111-114.
Authors:Wang Jin  Hu Juehui  Niu Yunting  Tian Jialu
Affiliation:Wang Jin1,Hu Juehui2,Niu Yunting1,Tian Jialu2 (1.Armed Police Command College of Shijiazhuan,Shijiazhuang 050084,China,2.School of Information and Automation,Kunming University of Science and Technology,kunming 650093,China)
Abstract:The moving target motion parameters are directly obtained by the optical flow,which can distinguish the foreground and the retreated background.Hough transform with least square algorithm are used for lane recognition and tracking.Experiment results show the two methods can achieve the expected goals.
Keywords:vehicle detection  lane detection  optical flow  Hough transform  least square algorithm  
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