基于海量数据统计的定向套牌车检测算法  

Detection Algorithm for Orientation Fake Plate Based on Massive Data Statistic

作　　者：王妍妍[1] 陈文明[1] 刘耀强[1] 

机构地区：[1]中国电子科技集团公司第二十八研究所,南京210007

出　　处：《指挥信息系统与技术》2016年第3期82-85,共4页Command Information System and Technology

摘　　要：套用车牌是一种侵犯车主利益的交通违法行为,识别套牌车将有助于公安机关进行交通和车辆管理。鉴于现有套牌车算法无法适应海量卡口行车数据统计,提出了一种基于海量数据统计的定向套牌车检测算法。试验结果表明,该算法有效降低了套牌车计算量,提高了套牌车检出率。The fake plate is a traffic violation for violating the owner right.The fake plate vehicle detection can help the public security organization to manage the city traffic and vehicle.The existing algorithms of fake plate vehicle cannot fit the massive gate traffic data statistic.The detection algorithm for orientation fake plate vehicle based on massive data statistic is proposed.Experimental results show that the algorithms can reduce the calculation time and enhance the detection productivity.

关 键 词：大数据 卡口行车数据 套牌车检测 

分 类 号：TN927[电子电信—通信与信息系统]