摘要
车辆颜色识别对车辆的识别与搜索、完善和增强智能交通系统功能具有重要意义。通过对颜色表示方法的深入研究,使用特殊的颜色空间合并与分解方法,提出了在室外正常光照条件下基于支持向量机的车辆颜色识别的方法。该方法克服了车辆颜色识别过程中多种颜色产生的混叠问题,将车辆颜色分为7个种类,解决了样本分布不均及光照对车辆颜色的影响,提高了车辆颜色识别的准确率和效率。
Vehicle color recognition is important to identify and search the vehicle to improve and enhance the function of intelligent transportation system. In this paper,a new vehicle color recognition method is presented based on depth study of the color representation and special color combined with the decomposition method and support vector machine in normal outdoor lighting condition. The algorithm overcomes the aliasing problem in a variety of color in the identification process to divide the vehicle color into seven categories. The uneven distribution of sample and influence of light is solved. The accuracy and efficiency of the vehicle color recognition is improved.
出处
《电视技术》
北大核心
2013年第23期207-209,233,共4页
Video Engineering
基金
教育部留学回国人员科研启动基金项目(教外司留[2011]508号)
河南重点科技攻关项目(112102210373)
关键词
颜色表示
支持向量机
车辆颜色识别
color representation
support vector machine
vehicle color recognition
