A fast coarse-to-fine vehicle logo detection and recognition method
A fast coarse-to-fine vehicle logo detection and recognition method
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DOI：
10.1109/robio.2007.4522246
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发表时间：
2007-12
期刊：
影响因子：
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通讯作者：
Yunqiong Wang;Zhi-fang Liu;Xiao-Liang Fei
中科院分区：
文献类型：
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作者：
Yunqiong Wang;Zhi-fang Liu;Xiao-Liang Fei
本文提出了一种基于静止摄像机记录的单目交通场景图像中车辆标志的车辆视觉分类算法。预期的应用是自动识别车辆类型，用于安全访问和交通监控应用，这是一个迄今为止尚未考虑到如此精确水平的问题。在车辆类型识别中，与其他研究者关注车辆形状、尺寸的识别不同，我们关注的是车辆标志的位置和识别。车辆标志是车辆类型（品牌和型号）的唯一标志。我们证明了一种相对简单的车头图像车辆标志识别方法可以获得高性能的车辆类型验证和识别。该方法首先利用牌照等先验知识对车辆标识进行粗略检测，然后利用边缘特征对车辆标识进行精确检测。最后，利用模板匹配和边缘方向直方图进行标识识别。实验结果表明了该方法的有效性。
This paper presents algorithms for vision-based classification of vehicles based on vehicle logo in monocular image of traffic scenes recorded by a stationary camera. The intended application is automatic recognition of vehicle type for secure access and traffic monitoring applications, a problem not hitherto considered at such a level of accuracy. In recognition of vehicle type, differing with other researchers who attend to the recognition of shape, size of vehicle, we pay attention to the location and recognition of vehicle logo. The vehicle logo is unique mark of vehicle type (both make and model). We demonstrate that a relatively simple vehicle logo recognition method from front images can be used to obtain high performance verification and recognition of vehicle type. Firstly, the vehicle logo can be rough detected by prior knowledge, such as license, and then logo can be exactly detected by edge feature. Finally, the logo can be recognized using template matching and edge orientation histograms. Experimental results show the effectiveness of the proposed method.