摘要
车流量、车速、车道占有率等交通参数是智能交通发挥作用的前提和基础,也是智能交通系统的关键所在,视频交通参数检测可为其提供丰富的交通信息。文章首先介绍了车辆检测的方法,并对基于虚拟检测器和基于目标提取和跟踪的交通参数提取技术进行了分析,同时介绍了近年来提出的一些基于视频的交通参数提取的算法和步骤,最后分析了视频交通参数检测技术的研究方向、存在问题及发展展望。
Traffic parameters such as traffic flow, speed, lane occupancy rate are not only the premise and basis of an intelligent transportation system, but also the key of the system. Video-based traffic parameter detection provides the abundant traffic information. Firstly, the paper introduces the vehicle detection method, and analyzes traffic parameters extraction technology based on virtual detector, object extraction and tracking. At the same time, the paper describes video-based traffic parameters extraction algorithms in recent years and their procedure. Finally, the paper analyzes the possible research directions of traffic parameter detection technology, problems and prospects.
出处
《物联网技术》
2013年第3期25-29,共5页
Internet of things technologies
基金
交通部高新技术联合攻关项目(2010-353-332-110)
江苏省科技厅科技支撑计划项目(BE2010686)
关键词
智能交通系统(ITS)
车辆检测
交通参数提取
目标跟踪
intelligent transportation system
vehicle detection
traffic parameter extraction
target tracking
