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公开(公告)号:US20100111404A1
公开(公告)日:2010-05-06
申请号:US12261304
申请日:2008-10-30
申请人: Russell P. Bobbitt , Quanfu Fan , Arun Hampapur , Frederik C. M. Kjeldsen , Sharathchandra U. Pankanti , Akira Yanagawa , Yun Zhai
发明人: Russell P. Bobbitt , Quanfu Fan , Arun Hampapur , Frederik C. M. Kjeldsen , Sharathchandra U. Pankanti , Akira Yanagawa , Yun Zhai
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。
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公开(公告)号:US08494214B2
公开(公告)日:2013-07-23
申请号:US12261304
申请日:2008-10-30
申请人: Russell P. Bobbitt , Quanfu Fan , Arun Hampapur , Frederik C. M. Kjeldsen , Sharathchandra U. Pankanti , Akira Yanagawa , Yun Zhai
发明人: Russell P. Bobbitt , Quanfu Fan , Arun Hampapur , Frederik C. M. Kjeldsen , Sharathchandra U. Pankanti , Akira Yanagawa , Yun Zhai
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。
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公开(公告)号:US07448542B1
公开(公告)日:2008-11-11
申请号:US12115238
申请日:2008-05-05
申请人: Russell P. Bobbitt , Myron Flickner , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti , Unsang Park , Akira Yanagawa , Yun Zhai
发明人: Russell P. Bobbitt , Myron Flickner , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti , Unsang Park , Akira Yanagawa , Yun Zhai
CPC分类号: G07G3/006 , G06Q20/208 , G07G1/0054
摘要: A method for detecting a non-scan at a retail checkout station includes detecting the passing of an item across a scanner device of a retail checkout station, obtaining an image of the item passing across the scanner, detecting a scan of an item passing across the scanner to establish a scanned item, and establishing a register associated with the scanned item. A scan occurs if the image of the item passing across the scanner substantially matches the register associated with the scanned item. Conversely, a non-scan is triggered when the image of the item passing across the scanner does not match the register associated with the scanned item.
摘要翻译: 一种用于在零售检验站检测非扫描的方法包括检测物品在零售检验台的扫描仪装置上的通过,获得穿过扫描仪的物品的图像,检测穿过扫描仪的物品的扫描 扫描仪建立扫描项目,并建立与扫描项目相关联的寄存器。 如果通过扫描仪的物品的图像基本上与扫描的物品相关的寄存器匹配,则会发生扫描。 相反,当穿过扫描仪的项目的图像与与扫描的项目相关联的寄存器不匹配时,触发非扫描。
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公开(公告)号:US07503490B1
公开(公告)日:2009-03-17
申请号:US12188365
申请日:2008-08-08
申请人: Russell P. Bobbitt , Myron Flickner , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti , Unsang Park , Akira Yanagawa , Yun Zhai
发明人: Russell P. Bobbitt , Myron Flickner , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti , Unsang Park , Akira Yanagawa , Yun Zhai
CPC分类号: G07G3/006 , G06Q20/208 , G07G1/0054
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。
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公开(公告)号:US08638380B2
公开(公告)日:2014-01-28
申请号:US13464328
申请日:2012-05-04
申请人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
发明人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
IPC分类号: H04N9/083
CPC分类号: G06K9/00342 , G06K9/00711 , G06K9/00771 , G06K9/64
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。
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公开(公告)号:US07962365B2
公开(公告)日:2011-06-14
申请号:US12262458
申请日:2008-10-31
申请人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
发明人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
CPC分类号: G07G1/0036 , G06Q20/20 , G06Q20/4016 , G06Q40/12 , G08B13/19613 , G08B13/19671 , G08B13/246
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 。
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公开(公告)号:US20100135528A1
公开(公告)日:2010-06-03
申请号:US12325176
申请日:2008-11-29
申请人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
发明人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
IPC分类号: G06K9/00
CPC分类号: G06K9/00342 , G06K9/6296
摘要: Techniques for analyzing one or more sequential events performed by a human actor to evaluate efficiency of the human actor are provided. The techniques include identifying one or more segments in a video sequence as one or more components of one or more sequential events performed by a human actor, integrating the one or more components into one or more sequential events by incorporating a spatiotemporal model and one or more event detectors, and analyzing the one or more sequential events to analyze behavior of the human actor.
摘要翻译: 提供了用于分析人类演员执行的一个或多个顺序事件以评估人类演员的效率的技术。 这些技术包括将视频序列中的一个或多个片段识别为由人类actor执行的一个或多个顺序事件的一个或多个组件,通过并入时空模型和一个或多个功能将该一个或多个组件集成到一个或多个顺序事件中 事件检测器,以及分析一个或多个顺序事件以分析人类行为的行为。
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公开(公告)号:US09299229B2
公开(公告)日:2016-03-29
申请号:US12325177
申请日:2008-11-29
申请人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
发明人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
CPC分类号: G07G3/00 , G06Q20/203 , G06Q20/206 , G06Q20/208 , G06Q20/4016 , G07F19/20 , G07F19/207 , G07G1/0054 , G07G1/0063 , G07G3/003 , G07G3/006 , G08B13/19613
摘要: Techniques for detecting one or more events are provided. The techniques include identifying one or more segments in a video sequence as one or more candidates for one or more events by a temporal ordering of the one or more candidates, and analyzing one or more motion patterns of the one or more candidates to detect 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。 这些技术包括通过一个或多个候选的时间排序将视频序列中的一个或多个片段识别为一个或多个事件的一个或多个候选,以及分析一个或多个候选的一个或多个运动模式以检测一个 或更多的事件。
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公开(公告)号:US08253831B2
公开(公告)日:2012-08-28
申请号:US12325178
申请日:2008-11-29
申请人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
发明人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
IPC分类号: H04N9/083
CPC分类号: G06K9/00342 , G06K9/00711 , G06K9/00771 , G06K9/64
摘要: Techniques for detecting one or more events are provided. The techniques include using one or more 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 one or more regions of interest, applying multiple-instance learning to the video sequence to construct one or more location-aware event models, and applying the models to the video sequence 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一个或多个感兴趣区域来覆盖一个或多个事件的位置,其中每个事件与一个或多个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确定与所述一个或多个事件相关联的一个或多个感兴趣区域。
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公开(公告)号:US20100134625A1
公开(公告)日:2010-06-03
申请号:US12325178
申请日:2008-11-29
申请人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
发明人: Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
IPC分类号: H04N7/18
CPC分类号: G06K9/00342 , G06K9/00711 , G06K9/00771 , G06K9/64
摘要: Techniques for detecting one or more events are provided. The techniques include using one or more 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 one or more regions of interest, applying multiple-instance learning to the video sequence to construct one or more location-aware event models, and applying the models to the video sequence 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一个或多个感兴趣区域来覆盖一个或多个事件的位置,其中每个事件与一个或多个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确定与所述一个或多个事件相关联的一个或多个感兴趣区域。
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