本文已被:浏览 1894次 下载 4715次
Received:September 10, 2010 Revised:October 02, 2010
Received:September 10, 2010 Revised:October 02, 2010
中文摘要: 针对智能交通系统(ITS)中车辆阴影带来的车辆误提取造成系统可靠性差,且检测算法无法满足实时性的问题,提出一种改进的基于HSV 色彩模型与背景差分法的车辆阴影检测与去除方法。通过分析HSV 色彩模型,改善亮度分量的参数选取,利用阴影与车辆和背景的亮度差检测目标车辆的阴影;结合背景差分法去除阴影。实验结果表明,该方法可以较准确检测车辆阴影,有效提高交通控制中车辆提取的可靠性,且能较好地满足实时性要求。
Abstract:Aiming at the problem that wrong extraction of vehicles shadow will cause low reliability and will not satisfy the real-time requirement in intelligent transportation system, an improved model based on HSV color space and difference of background is proposed. According to the analysis of the model, value is pushed out. The different values of shadow, vehicles and background can be used to extract shadows from target vehicles, and background subtraction is also used. Experiments on different scenes suggest that high effective detection rate of the proposed method can be reached, and this method is also effective to the reliability and real-time requirement in ITS.
keywords: intelligent transportation vehicles detection shadow suppression HSV color space background subtraction
文章编号: 中图分类号: 文献标志码:
基金项目:
引用文本:
孙旭霞,张珊.交通视频监控系统中车辆阴影的去除方法.计算机系统应用,2011,20(5):75-79
SUN Xu-Xia,ZHANG Shan.Vehicles Shadow Suppression in Visual Traffic Surveillance.COMPUTER SYSTEMS APPLICATIONS,2011,20(5):75-79
孙旭霞,张珊.交通视频监控系统中车辆阴影的去除方法.计算机系统应用,2011,20(5):75-79
SUN Xu-Xia,ZHANG Shan.Vehicles Shadow Suppression in Visual Traffic Surveillance.COMPUTER SYSTEMS APPLICATIONS,2011,20(5):75-79