计算机工程与应用2012，Vol.48Issue(12)：14-18,23,6.DOI:10.3778/j.issn.1002-8331.2012.12.003
一种交通监控场景下的多车道检测方法
Method for multi-lanes detection in traffic surveillance video.
摘要
Abstract
A multi-lanes detection method is proposed by extracting the edge of the background image automatically for intelligent applications of traffic surveillance video processing, which requires stationary scene and lanes information in advance. It focuses on static image processing: after background extraction from traffic video, filters and mathematical morphology are used for pretreatment. Hough transformation locates the lanes by gaining its skull from the edge of the background. With geometrical restriction, improper lines are excluded from lanes, and road area is confirmed. Several scence tests have been done to insure the method is effective. The proposed method turns out to be practically valuable, and has the robustness to detect multi-lanes from different scenes of traffic surveillance video under variant illumination conditions.关键词
交通监控视频/多车道检测/车道线提取/骨架化Key words
traffic surveillance video/ multi-lanes detection/ lane snatch/ skull分类
信息技术与安全科学引用本文复制引用
王镇波,余志,赵建华,李熙莹,罗东华..一种交通监控场景下的多车道检测方法[J].计算机工程与应用,2012,48(12):14-18,23,6.基金项目
国家自然科学基金(No.5178362). （No.5178362）
