Tracking and localisation of moving vehicle license plate via signature analysis

L. Angeline, M. Y. Choong, F. Wong, K. Teo
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引用次数: 11

Abstract

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.
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基于特征分析的移动车牌跟踪与定位
本文提出了一种基于特征分析和连通成分分析的车牌动态定位算法。大多数现有技术使用低级特征,如检测颜色和边缘,这些方法可能存在可靠性问题。然而,该算法旨在处理更准确的感知运动信息。摄像机设置为记录移动的车辆,同时根据观测设置改变视角和与移动车辆的距离。利用图像差分检测运动,并滤除噪声,得到能从运动车辆的运动中脱颖而出的二值图像。用不同背景、光照变化、姿态和角度变化的运动车辆对算法进行了测试。
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