基于马尔算法的高速公路视频监控图像能见度研究

根据高速公路沿线的监控摄像机,对监控视频画面中的图像进行采集,通过对视频图像特征的分析处理,建立图像与真实场景之间的关系,根据图像特征随着真实场景的变化,运用图像处理的方法如：灰度变换、图像分割和特征提取等对图像进行图像处理,提出运用马尔算法,分别提取出目标物与背景,并将其逐一进行背景差计算,能够准确的监控图像中汽车的位置变化,确定目标物的位置,进而判别出能见度的大小。

Study on highway video surveillance image algorithm based on visibility Maldives

According to the monitoring camera along the highway, to collect the image of the video image monitoring, Through the analysis and processing of video image features, to establish the relationship between the image and the real scene, According to the characteristics of the image changes with the real scene, By the method of image processing, such as gray-scale transformation, image segmentation and feature extraction for image processing of the image, Using the proposed algorithm Maldives, The target and background are extracted, and the background difference is calculated one by one, Can the car position change monitoring image exactly, and determine the target location, and then determine the size of visibility.