【摘要】 车辆视频检测系统作为智能交通系统的重要组成部分,为交通控制与交通规划提供必要的数据来源。考虑到外界环境的影响以及数据传输过程中的干扰,对所拍摄的单一图像的分析难以获得准确信息。因此,在简要介绍D-S证据理论的基础上,在对由摄像机拍摄的交通现场画面做了图像处理后,提取出车辆特征,并最终运用D-S证据理论来进行数据融合,从而来提高交通视频检测系统中车辆类型的识别率。实验证明采用此方法将使得车辆识别率大为提高。更多还原

【Abstract】 As one of the important parts of the intelligent transport system,vehicle video detection system can provide information for traffic control and traffic programming.It’s difficult to obtain accurate information from single video image,because of the influence of weather condition and data transmission.This paper presents briefly the concepts of D-S evidence theory,extracts vehicle characters from the processed images obtained by camcorder,and then explains how to improve the accuracy of traffic parameters by means of D-S evidence theory.Experimental result shows that the method can improve the accuracy of vehicle recognition.更多还原