基于视频运动检测的多车道交通流信息采集技术研究

【作者】 汤晖；

【导师】 许伦辉；

【作者基本信息】 江西理工大学 ， 控制理论与控制工程， 2008， 硕士

【摘要】 随着现代经济的高速发展,交通问题已成为众所周知的热点和难点问题。将计算机科学与自动化等高新技术运用于交通监控管理与车辆控制,以保障交通顺畅及行车安全,从而改善环境质量,促进经济和谐发展的智能交通系统(Intelligent traffic system, ITS)也随之应运而生。在智能交通管理系统中,实时获取交通流信息是智能交通管理系统中重要的一环。利用视频图像处理来实现动态交通流信息的采集技术能克服传统采集方式的缺陷,并已成为该研究领域的主流方向。本文所包含的内容如下:作者在全面阅读和理解国内外智能交通系统研究领域的前沿技术的基础之上,研究了基于运动检测的交通流视频检测技术的原理。在分析当前各种技术的优缺点后,选择了基于双TMS320C6x DSP的交通流视频检测系统的设计方案,并选择了适合于嵌入式系统的算法—“背景差法”。针对二值化阈值自动优化选取问题,通过将模拟退火思想引入到遗传算法中设计了退火遗传算法(AGA),增强了整个系统的实时性和鲁棒性。同时结合“动态背景帧”、“视频触发”、“虚拟线圈”等方法,设计了车流量、车型、车速等交通参数的识别,并用VC++ 6.0开发了演示系统对算法进行了仿真。接着针对上位机开发了一个监控程序,总体上实现了四大功能:视频播放、串口通信、流量曲线显示、数据库查询。最后对算法的性能效果进行了分析,找出了问题原因并提出了未来改进的方向。用本文的交通流视频检测算法对广州市和赣州市多段实况交通视频进行了反复地测试,取得了良好的效果。更多还原

【Abstract】 With the rapid development of the modern economy, transportation has become the well known hot and difficult problem, we utilize the advanced technologies such as computer science, automation in the traffic of management and control to safeguard smooth and safe, it can also improve the quality of environment and promote the harmonious development of economy,then, Intelligent Traffic System turns up. Gathering the information of transportation timely is the key to the series of technologies for the intelligent traffic system. The technology of video detecting can overcome the flaw of traditional way, and has become the mainstream of this field. This paper contains the content as following:After reading and understanding the advanced technology of the ITS, the author has studied the principle of video detection which is used in traffic flow based on the moving vehicle detection. After analysising the two sides of each kind of technology, this paper proposes the plan which is based on the double TMS320C6x DSP and it produces the algorithm of“the method of background frame difference”, which is fit for the embedded system. In view of the automatic selection of the best threshold which is used in the image division, here we introduce the thoughts of simulation of annealing into the basic genetic algorithm to generate the annealing genetic algorithm(AGA),then, the overall system’s timeliness and robustness are strengthened. Simultaneously , we have used a few of methods such as“dymatic background frame”,“hypothesized detection coil”,“Video triggering”and so on, to gather the traffic parameter such as traffic flow volume、vehicles’type and vehicles’speeds and so on. With VC++ 6.0, we have developed the demonstration system to realize the algorithm into reality.Then, the author developed a monitor software,which contains four modules:video player, Serial communication, volume curve display, database inquiry.Finally, it has carried on the analysis to the algorithm performance, then finding out the problems and the reasons ,it also point out the objection in future.With the video detection algorithm, we have carried on video tests repeatedly under the environment of real road in Guangzhou and in Ganzhou, and the result is good .更多还原