文献类型：期刊文献

中文题名：基于二值差分图像的运动车辆位置识别算法

英文题名：Algorithm of moving vehicle position recognition based-on binary differential image

作者：赵瑛[1];李育芳[1];王琦[1]

第一作者：赵瑛

机构：[1]北京联合大学师范学院电气信息系

第一机构：北京联合大学师范学院

年份：2009

期号：1

起止页码：228-230

中文期刊名：计算机工程与设计

外文期刊名：Computer Engineering and Design

收录：CSTPCD;;北大核心:【北大核心2008】；CSCD:【CSCD_E2011_2012】；

语种：中文

中文关键词：差分图;二值化;车辆识别;列投影;特征小区

外文关键词：differential image; binary processing; vehicle recognition; column projection; little characteristic area

摘要：针对运动车辆识别实时性问题,综合运用图像处理和模式识别技术,给出了车辆图像处理方法,提出了基于二值差分图像的运动车辆位置识别算法。该算法采用特征小区匹配法识别车辆位置,减少了计算量,提高了识别速度。仿真试验结果表明,在摄像机拍摄位置静止、拍摄角度固定的情况下,利用该算法,能够以较快的速度、较准确地识别出画面中汽车的位置。
Image processing and pattern recognition technology are used together to solve the real-time problem in moving vehicle recognition. The vehicle image processing method is given. An algorithm of moving vehicle position recognition based-on binary differential image is proposed. Little characteristic area matching method is adopted to recognize vehicle position in this algorithm, which greatly reduced the amount of calculation and improved the speed of recognition. The simulation experiment demonstrated that if the position and angle of camera shooting are fixed, the vehicle position is recognized accurately by the algorithm, with high recognizing speed.