DYNAMICALLY LEARNING ATTRIBUTES OF A POINT OF SALE OPERATOR
    1.
    发明申请
    DYNAMICALLY LEARNING ATTRIBUTES OF A POINT OF SALE OPERATOR 失效
    动态点销售操作员的动态学习属性

    公开(公告)号:US20100111404A1

    公开(公告)日:2010-05-06

    申请号:US12261304

    申请日:2008-10-30

    IPC分类号: G06K9/66

    CPC分类号: G06K9/00771

    摘要: An approach that dynamically learns a set of attributes of an operator of a point of sale (POS) is provided. In one embodiment, there is an attribute tool, including an extraction component configured to receive sensor data of a set of moving objects, and extract a set of attributes from each of the set of moving objects captured within the scan area at the POS; an identification component configured to update an appearance model with the set of attributes from each of the set of moving objects; and an analysis component configured to analyze the appearance model to identify at least one of the set of moving objects as an operator of the POS.

    摘要翻译: 提供了动态学习销售点(POS)的运营商的一组属性的方法。 在一个实施例中,存在一种属性工具,包括被配置为接收一组移动对象的传感器数据的提取部件,并且从POS中的扫描区域内捕获的移动对象集合中的每一个提取一组属性; 识别组件,被配置为使用来自所述一组移动对象的所述一组属性来更新外观模型; 以及分析部件,被配置为分析所述外观模型以将所述一组移动对象中的至少一个识别为所述POS的操作者。

    Dynamically learning attributes of a point of sale operator
    2.
    发明授权
    Dynamically learning attributes of a point of sale operator 失效
    动态学习销售点操作员的属性

    公开(公告)号:US08494214B2

    公开(公告)日:2013-07-23

    申请号:US12261304

    申请日:2008-10-30

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00771

    摘要: An approach that dynamically learns a set of attributes of an operator of a point of sale (POS) is provided. In one embodiment, there is an attribute tool, including an extraction component configured to receive sensor data of a set of moving objects, and extract a set of attributes from each of the set of moving objects captured within the scan area at the POS; an identification component configured to update an appearance model with the set of attributes from each of the set of moving objects; and an analysis component configured to analyze the appearance model to identify at least one of the set of moving objects as an operator of the POS.

    摘要翻译: 提供了动态学习销售点(POS)的运营商的一组属性的方法。 在一个实施例中,存在一种属性工具,包括被配置为接收一组移动对象的传感器数据的提取部件,并且从POS中的扫描区域内捕获的移动对象集合中的每一个提取一组属性; 识别组件,被配置为使用来自所述一组移动对象的所述一组属性来更新外观模型; 以及分析部件,被配置为分析所述外观模型以将所述一组移动对象中的至少一个识别为所述POS的操作者。

    Non-scan detect system for a retail checkout station
    4.
    发明授权
    Non-scan detect system for a retail checkout station 有权
    零售检验站的非扫描检测系统

    公开(公告)号:US07503490B1

    公开(公告)日:2009-03-17

    申请号:US12188365

    申请日:2008-08-08

    IPC分类号: G06K15/00 G06K7/10

    摘要: A non-scan detect system for a retail checkout station includes a non-scan detect module. The non-scan detect module, when operated, causes the non-scan detect system to detect the passing of an item across a scanner device of a retail checkout station, determine that the item passing across the scanner device was not registered as a scan, establish a potential non-scanned item based on the item not being registered as a scan, obtain an image of the potential non-scanned item, establish a scanned item based on an item passing across the scanner device being registered as a scan, extract features associated with the scanned item, compare the features associated with the scanned item with the image of the potential non-scanned item, and trigger an actual non-scan if the features of the scanned item do not substantially match the image of the potential non-scanned item.

    摘要翻译: 用于零售检验台的非扫描检测系统包括非扫描检测模块。 非扫描检测模块在操作时使得非扫描检测系统检测物品在零售检验台的扫描仪装置上的通过,确定通过扫描仪装置的物品未被注册为扫描, 基于未被注册为扫描的项目建立潜在的非扫描项目,获得潜在未扫描项目的图像,基于通过被注册为扫描的扫描仪设备通过的项目建立扫描项目,提取特征 与扫描的项目相关联,将与扫描项目相关联的特征与潜在未扫描项目的图像进行比较,并且如果扫描项目的特征基本上不匹配潜在非扫描项目的图像,则触发实际的非扫描, 扫描项目。

    Location-aware event detection
    5.
    发明授权
    Location-aware event detection 有权
    位置感知事件检测

    公开(公告)号:US08638380B2

    公开(公告)日:2014-01-28

    申请号:US13464328

    申请日:2012-05-04

    IPC分类号: H04N9/083

    摘要: Techniques for detecting one or more events are provided. The techniques include using multiple overlapping regions of interest on a video sequence to cover a location for one or more events, wherein each event is associated with at least one of the multiple overlapping regions of interest, applying multiple-instance learning to the video sequence to select one or more of the multiple overlapping regions of interest to construct one or more location-aware event models, and applying the models to the video sequence to detect the one or more events and to determine the one or more regions of interest that are associated with the one or more events.

    摘要翻译: 提供了用于检测一个或多个事件的技术。 这些技术包括在视频序列上使用多个重叠感兴趣的区域来覆盖一个或多个事件的位置,其中每个事件与多个重叠的感兴趣区域中的至少一个相关联,将多实例学习应用于视频序列到 选择所述多个重叠区域中的一个或多个以构建一个或多个位置感知事件模型,以及将所述模型应用于所述视频序列以检测所述一个或多个事件并且确定所述一个或多个关联区域 与一个或多个事件。

    Using detailed process information at a point of sale
    6.
    发明授权
    Using detailed process information at a point of sale 有权
    在销售点使用详细的过程信息

    公开(公告)号:US07962365B2

    公开(公告)日:2011-06-14

    申请号:US12262458

    申请日:2008-10-31

    IPC分类号: G06Q20/00 G06F17/00

    摘要: Techniques for using transactional and visual event information to facilitate loss prevention are provided. The techniques include obtaining video of one or more visual events at a point of sale environment and one or more transaction log entries that correspond to the video, wherein the one or more transaction log entries comprise one or more transactional events, categorizing each event as one of one or more model events, using each categorized event to create a revised transaction log, wherein the revised transaction log comprises a sequence of categorized events, wherein each categorized event is a combination of the one or more transactional events and the one or more visual events, examining the revised transaction log to correct one or more mis-categorizations, if any, and revise one or more model event categories with the one or more corrected mis-categorizations, if any, and using the revised transaction log to facilitate loss prevention.

    摘要翻译: 提供了使用事务和视觉事件信息来促进损失预防的技术。 所述技术包括在销售点环境下获取一个或多个视觉事件的视频以及对应于该视频的一个或多个事务日志条目,其中所述一个或多个事务日志条目包括一个或多个事务事件,将每个事件分类为一个 使用每个分类事件来创建经修订的事务日志,其中所述经修订的事务日志包括一系列分类事件,其中每个分类事件是所述一个或多个事务事件和所述一个或多个视觉 审查修订的交易日志以纠正一个或多个错误分类(如果有的话),并使用一个或多个更正的错误分类(如果有的话)修改一个或多个模型事件类别,并使用修订的交易日志来促进损失预防 。