基于摄像机自标定的视频对比度能见度检测算法与实现

陈钊正; 陈启美

doi:10.3724/SP.J.1146.2009.01630

基于摄像机自标定的视频对比度能见度检测算法与实现

doi: 10.3724/SP.J.1146.2009.01630

基金项目:

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

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- 被引次数: 0
出版历程
- 收稿日期: 2009-12-22
- 修回日期: 2010-04-06
- 刊出日期: 2010-12-19

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

摘要

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。
- 视频能见度 /
- 摄像机自标定 /
- 小波变换 /
- 对比度 /
- 曲线拟合
Abstract: Because trandition meteorological sensors 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 Jiangsus high-ways. The errors of result conform to national and foreign standards.
- Video visibility /
- Camera self-calibration /
- Wavelet transform /
- Contrast /
- Curve fitting

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参考文献(1)

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