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    • 1. 发明授权
    • Multi-event type monitoring and searching
    • 多事件类型监控和搜索
    • US08601494B2
    • 2013-12-03
    • US12013706
    • 2008-01-14
    • Lisa M. BrownArun HampapurAndrew W. SeniorChiao-Fe ShuYun Zhai
    • Lisa M. BrownArun HampapurAndrew W. SeniorChiao-Fe ShuYun Zhai
    • G06F3/00G06F9/44G06F9/46G06F13/00
    • G06Q10/10
    • Multiple event types are monitored for events, and surveillance data is stored for each event. Surveillance data for a primary event of one event type can be presented to a user, and surveillance data for a set of related events corresponding to another event type can be presented based on a set of relatedness criteria and the surveillance data for the primary event. A user can adjust the relatedness criteria to filter/adjust the surveillance data presented for the related event(s). A user interface can enable the user to simultaneously view the surveillance data for both events and adjust the relatedness criteria. In an illustrative application, the invention is utilized to detect fraudulent merchandise returns in a retail store.
    • 监视事件的多个事件类型,并为每个事件存储监视数据。 可以向用户呈现一种事件类型的主要事件的监视数据,并且可以基于一组相关性标准和主事件的监视数据来呈现与另一事件类型相对应的一组相关事件的监视数据。 用户可以调整相关性标准来过滤/调整相关事件所呈现的监视数据。 用户界面可以使用户能够同时查看两个事件的监视数据,并调整相关性标准。 在示例性应用中,本发明用于检​​测零售商店中的欺诈性商品退货。
    • 2. 发明申请
    • MULTI-EVENT TYPE MONITORING AND SEARCHING
    • 多事件类型监控和搜索
    • US20090183177A1
    • 2009-07-16
    • US12013706
    • 2008-01-14
    • Lisa M. BrownArun HampapurAndrew W. SeniorChiao-Fe ShuYun Zhai
    • Lisa M. BrownArun HampapurAndrew W. SeniorChiao-Fe ShuYun Zhai
    • G06F3/00
    • G06Q10/10
    • Multiple event types are monitored for events, and surveillance data is stored for each event. Surveillance data for a primary event of one event type can be presented to a user, and surveillance data for a set of related events corresponding to another event type can be presented based on a set of relatedness criteria and the surveillance data for the primary event. A user can adjust the relatedness criteria to filter/adjust the surveillance data presented for the related event(s). A user interface can enable the user to simultaneously view the surveillance data for both events and adjust the relatedness criteria. In an illustrative application, the invention is utilized to detect fraudulent merchandise returns in a retail store.
    • 监视事件的多个事件类型,并为每个事件存储监视数据。 可以向用户呈现一种事件类型的主要事件的监视数据,并且可以基于一组相关性标准和主事件的监视数据来呈现与另一事件类型相对应的一组相关事件的监视数据。 用户可以调整相关性标准来过滤/调整相关事件所呈现的监视数据。 用户界面可以使用户能够同时查看两个事件的监视数据,并调整相关性标准。 在示例性应用中,本发明用于检​​测零售商店中的欺诈性商品退货。
    • 7. 发明申请
    • HIGH DENSITY QUEUE ESTIMATION AND LINE MANAGEMENT
    • 高密度队列估计和线路管理
    • US20090034846A1
    • 2009-02-05
    • US11830270
    • 2007-07-30
    • Andrew W. SeniorYun Zhai
    • Andrew W. SeniorYun Zhai
    • G06K9/46
    • G06K9/00778
    • The present invention is directed to the measurement of attributes of a queue. A method for measuring an attribute of a queue in accordance with an embodiment includes: acquiring a plurality of images of a queue; extracting features from the images of the queue; analyzing the extracted features; and measuring the attribute based on the analysis of the extracted features; wherein the analyzing further comprises analyzing the extracted features at a plurality of successive time points to determine successive correspondences between the extracted features, and wherein the measuring further comprises measuring the attribute based on the successive correspondences
    • 本发明涉及队列属性的测量。 根据实施例的用于测量队列的属性的方法包括:获取队列的多个图像; 从队列的图像中提取特征; 分析提取的特征; 并根据提取的特征的分析来测量属性; 其中所述分析还包括在多个连续时间点分析所提取的特征以确定所提取的特征之间的连续对应,并且其中所述测量还包括基于所述连续对应度来测量所述属性