The vehicle speed measuring and precision analysis of video shot by moved camera based on 2D DLT algorithm

Gang Huang, Chaozhong Wu, Nengchao Lyu, Pingfan Li
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引用次数: 1

Abstract

To solve the problem that the Direct Linear Transformation (DLT) algorithm cannot be used in the background moving scene, a novel transforming method based on 2D DLT is proposed. The method transforms the feature points in different scenes to the same object space coordinate. Firstly the precision of 2D DLT algorithm has been verified in high-precision 3-D digital camera calibration field. Experiments have been carried out on the platform of miniature traffic scene to calculate errors of the algorithm caused by movements of the camera. The results of the experiments indicated that the errors are all less than 2.5%. Although the errors present a rising trend, the limitation of actual traffic scene makes the proposed method available. The researching results can be used as an aid for speed measuring of road accident identified, and it can provide a scientific basis for the error estimation of the speed identification based on surveillance video which the backgrounds are changing.
基于二维DLT算法的移动摄像机车速测量及视频精度分析
为解决直接线性变换(DLT)算法不能用于背景运动场景的问题,提出了一种基于二维DLT的图像变换方法。该方法将不同场景中的特征点转换为相同的目标空间坐标。首先在高精度三维数码相机标定领域验证了二维DLT算法的精度。在微型交通场景平台上进行了实验,计算了摄像机运动引起的算法误差。实验结果表明,误差均小于2.5%。虽然误差呈上升趋势,但实际交通场景的局限性使该方法具有可行性。研究结果可作为道路交通事故识别速度测量的辅助手段,并可为基于背景变化的监控视频的速度识别误差估计提供科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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