基于DSP图像处理的车流量统计算法研究  

Traffic Statistical Algorithms for Image Processing Research Based on DSP

作　　者：尹晓丁 吴阳明[1] 赵喆[1] 王钰[1] YIN Xiaoding;WU Yangming;ZHAO Zhe;WANG Yu(Dalian Jiaotong University,Dalian 116028)

机构地区：[1]大连交通大学,大连116028

出　　处：《计算机与数字工程》2017年第6期1204-1206,1233,共4页Computer & Digital Engineering

摘　　要：随着汽车产业与交通运输事业的迅猛发展,大中城市的道路交通问题日益突出。针对道路交叉口各方向通行车辆分布不均的情况,提出一种以DSP芯片为硬件平台的交通灯智能控制系统设计方案。该系统用COMS高清摄像机采集道路交通现场情况的图像,然后对获取的图像进行一系列的处理,获得道路交叉口各相位的车流量信息,然后根据各相对相位车辆多少的不同来实时地控制相应红绿灯时间的变化,以实现交通信号灯的智能控制。其中车流量统计是智能交通灯系统的关键技术。论文在深入研究前人的基础上,对车流量信息的背景提取与更新等方面进行了算法研究。With the rapid development of automobile industry and transportation business,road traffic problems have becomeincreasingly prominent in cities.Uneven each traffic direction road intersections,it is proposed for the traffic light to the DSP chipintelligent control system design hardware platform.The system collects road traffic scene image by COMS high-definition camcord?er,and then a series of image acquisition processing,access road intersections vehicle information for each phase,and then to con?trol the traffic lights accordingly in real time depending on the number of vehicles of each vehicle??s relative phase changes over timein order to achieve intelligent control traffic lights.Traffic flow information are the key technology of intelligent traffic light system.On the basis of in-depth study of predecessors,the article researches traffic statistics background extraction and update other as?pects of the algorithm.

关 键 词：DSP 图像采集 图像处理 车流量统计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]