基于摄像机自标定的视频对比度能见度检测算法与实现  

Video Contrast Visibility Detection Algorithm and Its Implementation Based on Camera Self-calibration

作　　者：陈钊正[1] 陈启美[1] 

机构地区：[1]南京大学通信技术研究所,南京210093

出　　处：《电子与信息学报》2010年第12期2907-2912,共6页Journal of Electronics & Information Technology

基　　金：中国交通部科技攻关项目(2004-353-352-04);江苏交通厅科研基金(06x05;07x03)资助课题

摘　　要：由于气象能见度仪应用范围有限且难以架设、现有视频检测算法对外部要求过高且容易受噪声影响,无法大范围布设。该文提出了基于摄像机自标定的视频能见度检测方法,并构建了能见度检测系统。该方法利用摄像机自标定模型、小波变换、视频对比度检测模型曲线拟合等手段,克服原有方法和算法在距离信息、目标物、噪声、稳定性等原因的缺点。其系统已在江苏1/5的高速公路上试运行,结果误差符合国际及国家相关标准。Because trandition meteorological sensor’s range is limited and hard to be erected, video detections require good external conditon and are easliy effected by nosie. A new method of detection of visibility is proposed based on camera self-calibration. And a system of visibility detection is constructed. The camera self-calibration, wavelet transform, video contrast detecting model, curve fitting is used to overcome disadvantages of tradition detections algorithms at distance, targets, noise and stability. Now the system has been used on 1/5 of Jiangsu’s high-ways. The errors of result conform to national and foreign standards.

关 键 词：视频能见度 摄像机自标定 小波变换 对比度 曲线拟合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]