Instant Traveling Companion Discovery Based on Traffic-Monitoring Streaming Data

摘要：

　　Traveling companions are object groups that move together in a period of time.To quickly identify traveling companions from a special kind of streaming traffic data, called Automatic Number Plate Recognition (ANPR) data, this paper proposes a framework and several algorithms to discover companion vehicles.Compared to related approaches, our main contribution is that the framework can instantly detect suspicious companion vehicles with their probabilities when they pass through monitoring cameras.Our framework can be used in many time-sensitive scenarios like taking surveillance on the suspect trackers for specific vehicles.Experiments show that our approach can process streaming ANPR data directly and discover the companion vehicles in nearly real time.

关键词： component traveling companion,ANPR data,instant manner,moment companion

作者: Xiongbin Wang Chen Liu Meiling Zhu

作者单位: Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, North China Universit Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, North China Universit

会议类型: 国际会议

会议名称: The 13th Web Information Systems and Applications Conference(第十三届全国web信息系统及其应用学术会议)(WISA2016)、The 1st Symposium on Big Data Processing and Analysis)( BDPA 2016)第一届全国大数据处理与分析学术研讨会、The 1st Workshop on Information System Security)(ISS2016)(第一届全国信息系统安全研讨会

会议地点: 武汉

会议语种:英文

页码: 89-94

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）