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Vehicle prediction and association tool based on license plate recognition

机译:基于车牌识别的车辆预测与关联工具

摘要

LPR instances around physical locations and license plate numbers associated with a person of interest are analyzed to predict the relative likelihood of locating the person of interest at a particular location. An LPR information query includes an indication of a physical location and a license plate number associated with a person of interest. The relative likelihood of locating a person of interest at a particular location at a future point in time is determined based on the LPR instances received. In one example, the relative likelihood of locating the person of interest is based on the relative value of clusters of LPR instances around physical locations associated with the person of interest. Additional license plate numbers are associated with a person of interest based on their appearance within a search zone and time window of LPR instances of a license plate number already associated with a person of interest.
机译:分析物理位置周围的LPR实例以及与感兴趣的人相关的车牌号,以预测将感兴趣的人定位在特定位置的相对可能性。 LPR信息查询包括与感兴趣的人相关联的物理位置的指示和车牌号。基于接收到的LPR实例,确定将来某个时间点将感兴趣的人定位在特定位置的相对可能性。在一个示例中,定位感兴趣的人的相对可能性基于与感兴趣的人相关联的物理位置周围的LPR实例的簇的相对值。根据附加车牌号在搜索区域内的外观和已经与该感兴趣人相关联的车牌号的LPR实例的时间窗口与该感兴趣人相关联。

著录项

  • 公开/公告号US9542653B1

    专利类型

  • 公开/公告日2017-01-10

    原文格式PDF

  • 申请/专利权人 VAAS INC.;

    申请/专利号US201514709253

  • 发明设计人 SHAWN B. SMITH;

    申请日2015-05-11

  • 分类号G06F17/30;G06N7;

  • 国家 US

  • 入库时间 2022-08-21 13:41:12

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