%0 Journal Article %T Video Contrast Visibility Detection Algorithm and Its Implementation Based on Camera Self-calibration
基于摄像机自标定的视频对比度能见度检测算法与实现 %A Chen Zhao-zheng %A Chen Qi-mei %A
陈钊正 %A 陈启美 %J 电子与信息学报 %D 2010 %I %X 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. %K Video visibility %K Camera self-calibration %K Wavelet transform %K Contrast %K Curve fitting
视频能见度 %K 摄像机自标定 %K 小波变换 %K 对比度 %K 曲线拟合 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=1438E441F010591D6B95A048D073D5A4&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=59906B3B2830C2C5&sid=8B7EC6C4FFE89175&eid=E0B0176609BEBAFD&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10