【摘要】 视频监控系统是智能交通监控系统的重要组成部分.通过监视区域车辆视频图像的预处理、检测,完成车辆的实时分类,并根据分类结果实时确定交通灯控制系统红黄绿灯的放行时间.采用活动轮廓跟踪模型对运动车辆视频图像实现检测,由模糊型支持向量机方法实现运动车辆的分类.Matlab软件仿真结果表明,大中小型车辆的平均正确识别率达96.49%,提高了车辆通行效率.更多还原

【Abstract】 Video surveillance system is a component of intelligent transportation system.Through preprocessing and detecting the video image of vehicles in monitoring area,and real-time classification,the release time of traffic lights can be confirmed in real time according to the size of the vehicle flow.By using the method of the active contour tracking model and fuzzy support vector machine,the intelligent traffic video surveillance system provides real-time detection and classification of vehicles.Matlab simulation results show that the average correct recognition rate of large,medium and small sized vehicle is 8 9.8%,so the method can improve the efficiency of traffic.更多还原