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Tracking and localisation of moving vehicle license plate via signature analysis

机译:通过签名分析跟踪和定位行驶中的车牌

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摘要

In this paper, a new algorithm for dynamic vehicle license plate localisation is proposed on the basis of signature analysis and connected component analysis. Most existing techniques use low level features such as detection of colour and edges, these methods may have issues with reliability. The proposed algorithm however, aims to manipulate more accurate perceptual motion information. The camera is set to record the moving vehicle, while the angle of view and the distance from the moving vehicle is changed according to the observational setup. Image differencing is used to detect the motion, and noise is filtered out to obtain a binary image that can stand out from the motion of the moving vehicle. The algorithm was tested using moving vehicles with different backgrounds, under illumination change and varying poses and angle.
机译:本文在签名分析和连通分量分析的基础上,提出了一种新的动态车牌定位算法。大多数现有技术都使用低级功能,例如检测颜色和边缘,这些方法可能存在可靠性问题。然而,所提出的算法旨在操纵更准确的感知运动信息。摄像机设置为记录运动中的车辆,同时根据观察设置改变视角和与运动中的车辆的距离。图像差分用于检测运动,并滤除噪声以获得可以从移动车辆的运动中脱颖而出的二进制图像。使用具有不同背景的移动车辆,在光照变化以及姿势和角度变化的情况下对算法进行了测试。

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