基于交通监控系统图像处理方法的研究

Image Processing Methods in Traffic Surveillance and Control System

随着经济的发展,以及自驾车的迅猛增加,也带来了很多负面的问题,交通安全问题越来越成为大家关注的焦点.交通路口的新型监控系统近年来由于其能够主动收集分析数据,进行预设处理并实时检测而受到广泛关注.随着该技术的不断成熟,针对不同环境条件产生了很多处理图像的方法 .针对其中两种主流方法(帧差法和背景差分法),在一般情况下的优劣性进行了分析研究.

With the development of economy and the rapid development of driving, traffic safety problem gets the growing attention. The new monitoring system of traffic crossing gains wide public concern by its initiative to collect and analyze data,and to design processing and real-time detection. With the development of technology, scientists created a lot of image processing methods according to the different environment. Our paper aims at the two main methods （frame difference and background difference methods）, and analyzes their general advantages and disadvantages.