改进的光流法用于车辆识别与跟踪  

An Improved Optical Flow Algorithmin in Vehicle Identification and Tracking

作　　者：胡觉晖[1] 李一民[1] 潘晓露[1] 

机构地区：[1]昆明理工大学信息与自动化学院

出　　处：《科学技术与工程》2010年第23期5814-5817,共4页Science Technology and Engineering

摘　　要：利用帧间差分获取运动区域,采用梯度阈值获取二值图像,再提取运动区域目标特征点的光流,对光流矢量采取分段标注,设置感兴趣区域。利用光流特性实现目标的识别,定位与跟踪,对于运动目标的跟踪具有实时性和鲁棒性,能够用于车流量统计,对车辆辅助行驶研究起到一定的铺垫作用,实验结果证明该算法的有效性和实用性。Frames difference to get moving regions,gradient threshold to get binary images.extracting feature points＇optical flow of moving regions,marking optical flow vector by section,setting up ROI,using optical flow to get identification,orientation,tracking of moving target are introduced.This method has real-time and robustness to moving target tracking.It can be used in traffic flow statistics and is also a bedding of driver assistance research.Experimental results show the effectiveness and practical of this method.

关 键 词：差分 光流矢量 目标跟踪 辅助驾驶 

分 类 号：U491.112[交通运输工程—交通运输规划与管理]