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1.发明申请METHOD OF TRACKING MOVEABLE OBJECTS BY COMBINING DATA OBTAINED FROM MULTIPLE SENSOR TYPES 有权通过组合从多个传感器类型获得的数据跟踪移动物体的方法公开(公告)号：US20140379296A1
公开(公告)日：2014-12-25
申请号：US14311269
申请日：2014-06-21
Applicant: Intellivision Technologies Corp.
Inventor： Vaidhi Nathan , Chandan Gope , Lev Afraimovich , Sergey Soprykin , Roman Kholodov Valerievich
CPC classification number: G01B21/00 , G06F17/18 , G06K9/00771 , G06K9/6293 , G06K2017/0045 , G06Q10/08
Abstract: Method of tracking moveable objects (typically tagged objects that are moved by actors e.g. people, vehicles) by combining and analyzing data obtained from multiple types of sensors, such as video cameras, RFID tag readers, GPS sensors, and WiFi transceivers. Objects may be tagged by RFID tags, NFC tags, bar codes, or even tagged by visual appearance. The system operates in near real-time, and compensates for errors in sensor readings and missing sensor data by modeling object and actor movement according to a plurality of possible paths, weighting data from some sensors higher than others according to estimates of sensor accuracy, and weighing the probability of certain paths according to various other rules and penalty cost parameters. The system can maintain a comprehensive database which can be queried as to which actors associate with which objects, and vice versa. Other data pertaining to object location and association can also be obtained.
Abstract translation: 通过组合和分析从诸如摄像机，RFID标签读取器，GPS传感器和WiFi收发器的多种类型的传感器获得的数据来跟踪可移动对象（通常由演员例如人，车辆移动的标签对象）的方法。 对象可能被RFID标签，NFC标签，条形码标记，甚至可以通过视觉外观标记。 该系统近乎实时操作，通过根据多个可能的路径建模对象和演员移动来补偿传感器读数误差和传感器数据丢失，根据传感器精度的估计，来自某些传感器的数据加权比其他传感器更高;以及 根据各种其他规则和罚款成本参数权衡某些路径的概率。 该系统可以维护一个全面的数据库，可以查询与哪些对象相关联的哪个对象，反之亦然。 还可以获得与对象位置和关联有关的其他数据。
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2.发明授权公开(公告)号：US09664510B2
公开(公告)日：2017-05-30
申请号：US14311269
申请日：2014-06-21
Applicant: Intellivision Technologies Corp.
Inventor： Vaidhi Nathan , Chandan Gope , Lev Afraimovich , Sergey Soprykin , Roman Kholodov Valerievich
CPC classification number: G01B21/00 , G06F17/18 , G06K9/00771 , G06K9/6293 , G06K2017/0045 , G06Q10/08
Abstract: Method of tracking moveable objects (typically tagged objects that are moved by actors e.g. people, vehicles) by combining and analyzing data obtained from multiple types of sensors, such as video cameras, RFID tag readers, GPS sensors, and WiFi transceivers. Objects may be tagged by RFID tags, NFC tags, bar codes, or even tagged by visual appearance. The system operates in near real-time, and compensates for errors in sensor readings and missing sensor data by modeling object and actor movement according to a plurality of possible paths, weighting data from some sensors higher than others according to estimates of sensor accuracy, and weighing the probability of certain paths according to various other rules and penalty cost parameters. The system can maintain a comprehensive database which can be queried as to which actors associate with which objects, and vice versa. Other data pertaining to object location and association can also be obtained.
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