说明：  基于视频图像的运动车辆识别系统主要是由汽车牌照识别和汽车类型识 别两大核心技术构成，它在智能交通领域中有着广泛的应用，同时也是计算机 视觉、图像处理和模式识别等交叉学科研究的热门课题，因此对相关技术的研 究正受到普遍关注。本文正是在这一背景下，对运动车辆识别技术进行了系统 的研究。在车牌识别技术中，本文着重对车牌定位和车牌字符识别等关键技术 所涉及的难点进行了深入的研究。在车型识别技术中，与当前国内外学者侧重 于研究车辆外形、大小的识别不同，本文主要侧重对汽车标志的定位和识别进 行研究。本文提出了解决以上技术中相应问题的理论方法，并在实验中验证了 其有效性，同时这些研究内容对于解决一般的目标识别系统中普遍存在的光 照、噪声、尺度、形状相似、部分遮挡等情况的识别问题有着更为深远的理论 意义。
(Recognition system of moving vehicle based on video images mainly consists of two key technologies:recognition of vehicle_license_plate(VLP)and recognition of vehicle type.It not only finds wide application in ITS,but also is a hot point of research in computer vision,image processing and pattern recognition. So its related technology is attended prevalently.On the above background,we made a deep and systematic research for recognition of moving vehicle.In recognition of VLP,the problems of VLP location and VLP character recognition are studied in this dissertation.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 vehiclelogo.The methods to deal with above problems are proposed in the dissertation and testified in the experiment.At the same time,our researches have academic significance in object recognition which is subject to illumination,noise,size,sla)