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基于摄像机自标定的视频对比度能见度检测算法与实现
引用本文:陈钊正,陈启美.基于摄像机自标定的视频对比度能见度检测算法与实现[J].电子与信息学报,2010,32(12):2907-2912.
作者姓名:陈钊正  陈启美
作者单位:南京大学通信技术研究所,南京,210093
基金项目:中国交通部科技攻关项目,江苏交通厅科研基金
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。

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
收稿时间:2009-12-22

Video Contrast Visibility Detection Algorithm and Its Implementation Based on Camera Self-calibration
Chen Zhao-zheng,Chen Qi-mei.Video Contrast Visibility Detection Algorithm and Its Implementation Based on Camera Self-calibration[J].Journal of Electronics & Information Technology,2010,32(12):2907-2912.
Authors:Chen Zhao-zheng  Chen Qi-mei
Affiliation:Institute of Communication Technology, Nanjing University, Nanjing 210093, China
Abstract: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.
Keywords:Video visibility  Camera self-calibration  Wavelet transform  Contrast  Curve fitting
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