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11. 发明授权

US09396621B2 Systems and methods for false alarm reduction during event detection 有权
标题翻译：事件检测过程中虚报警减少的系统和方法
公开(公告)号：US09396621B2
公开(公告)日：2016-07-19
申请号：US13428982
申请日：2012-03-23
申请人： Quanfu Fan , Sachiko Miyazawa , Sharathchandra U. Pankanti , Hoang Trinh
发明人： Quanfu Fan , Sachiko Miyazawa , Sharathchandra U. Pankanti , Hoang Trinh
IPC分类号： G06K9/00 , H04N9/47 , H04N7/18 , G07G1/00 , G06K9/62
CPC分类号： G06K9/00771 , G06K7/10009 , G06K9/00335 , G06K9/6256 , G06K9/6269 , G07G1/0036 , G07G1/0045 , G07G1/009 , H04N7/18 , H04N7/183
摘要： Embodiments of the present invention provide a system, method, and program product to determine whether a product has been successfully purchased by identifying in a video record when a movement of a product adjacent to a scanner occurs, and whether the scanner did not record a purchase transaction at that time; measuring a difference in time between the time of the movement of the product and a time of another movement of a product, and determining by a trained support vector machine a likelihood that the product was successfully purchased. Alternately, the difference in time can be measured between the time of the movement of the product and a time of a transaction record, or between the time of the movement of the product and a boundary time. The support vector machine can use a radial basis function kernel and can generate a decision value and a confidence score.
摘要翻译：本发明的实施例提供一种系统，方法和程序产品，用于通过在与扫描仪相邻的产品的移动发生时识别产品在视频记录中是否成功购买，以及扫描仪是否没有记录购买当时交易; 测量产品移动时间与产品的另一次移动时间之间的时间差，以及由经过训练的支持向量机确定产品被成功购买的可能性。或者，可以在产品移动时间与交易记录时间之间，或在产品移动时间与边界时间之间测量时间差。支持向量机可以使用径向基函数内核，并可以生成决策值和置信度分数。

12. 发明授权

US08494214B2 Dynamically learning attributes of a point of sale operator 失效
标题翻译：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
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。

13. 发明申请

US20110280547A1 AUDITING VIDEO ANALYTICS THROUGH ESSENCE GENERATION 失效
标题翻译：通过心理发生审视视频分析
公开(公告)号：US20110280547A1
公开(公告)日：2011-11-17
申请号：US12986233
申请日：2011-01-07
申请人： Quanfu Fan , Zuoxuan Lu , Sachiko Miyazawa , Sharathchandra U. Pankanti
发明人： Quanfu Fan , Zuoxuan Lu , Sachiko Miyazawa , Sharathchandra U. Pankanti
IPC分类号： H04N5/91
CPC分类号： G06K9/00355 , G06T7/20 , G08B13/196
摘要： Video analytics data is audited through review of selective visual essence subsets of visual images from a visual image stream as a function of a temporal relationship of the essence subset images to a triggering alert event. The visual essence subset comprehends an image contemporaneous with the triggering alert event and one or more other images occurring before or after the contemporaneous image. The generated visual essence is presented for review to determine whether the triggering alert event is a true or false alert, or whether additional data from the visual image stream is required to make such a determination. If determined from the presented visual essence that the additional data is required make the true or false determination, then additional data is presented from the visual image stream for review.
摘要翻译：通过从可视图像流中检查视觉图像的选择性视觉实质子集作为本质子集图像与触发警报事件的时间关系的函数来审查视频分析数据。视觉本质子集包括与触发警报事件同时发生的图像以及在同期图像之前或之后发生的一个或多个其它图像。生成的视觉精华被呈现供审查以确定触发警报事件是真实还是假警报，或者是否需要来自视觉图像流的附加数据进行这样的确定。如果从呈现的视觉实质确定需要附加数据进行真实或错误的确定，则从视觉图像流中呈现附加数据以供审查。

14. 发明申请

US20130250115A1 SYSTEMS AND METHODS FOR FALSE ALARM REDUCTION DURING EVENT DETECTION 有权
标题翻译：在事件检测期间进行伪报警减少的系统和方法
公开(公告)号：US20130250115A1
公开(公告)日：2013-09-26
申请号：US13428982
申请日：2012-03-23
申请人： Quanfu Fan , Sachiko Miyazawa , Sharathchandra U. Pankanti , Hoang Trinh
发明人： Quanfu Fan , Sachiko Miyazawa , Sharathchandra U. Pankanti , Hoang Trinh
IPC分类号： G06K9/62 , H04N7/18
CPC分类号： G06K9/00771 , G06K7/10009 , G06K9/00335 , G06K9/6256 , G06K9/6269 , G07G1/0036 , G07G1/0045 , G07G1/009 , H04N7/18 , H04N7/183
摘要： Embodiments of the present invention provide a system, method, and program product to determine whether a product has been successfully purchased by identifying in a video record when a movement of a product adjacent to a scanner occurs, and whether the scanner did not record a purchase transaction at that time; measuring a difference in time between the time of the movement of the product and a time of another movement of a product, and determining by a trained support vector machine a likelihood that the product was successfully purchased. Alternately, the difference in time can be measured between the time of the movement of the product and a time of a transaction record, or between the time of the movement of the product and a boundary time. The support vector machine can use a radial basis function kernel and can generate a decision value and a confidence score.
摘要翻译：本发明的实施例提供一种系统，方法和程序产品，用于通过在与扫描仪相邻的产品的移动发生时识别产品在视频记录中是否成功购买，以及扫描仪是否没有记录购买当时交易; 测量产品移动时间与产品的另一次移动时间之间的时间差，以及由经过训练的支持向量机确定产品被成功购买的可能性。或者，可以在产品移动时间与交易记录时间之间，或在产品移动时间与边界时间之间测量时间差。支持向量机可以使用径向基函数内核，并可以生成决策值和置信度分数。

15. 发明授权

US08478048B2 Optimization of human activity determination from video 失效
标题翻译：从视频优化人类活动确定
公开(公告)号：US08478048B2
公开(公告)日：2013-07-02
申请号：US12832379
申请日：2010-07-08
申请人： Lei Ding , Quanfu Fan , Sharathchandra U. Pankanti
发明人： Lei Ding , Quanfu Fan , Sharathchandra U. Pankanti
IPC分类号： G06K9/46 , G06K9/00
CPC分类号： G06K9/00335 , G06K9/00771 , G08B13/19613
摘要： In an embodiment, automated analysis of video data for determination of human behavior includes providing a programmable device that segments a video stream into a plurality of discrete individual frame image primitives which are combined into a visual event that may encompass an activity of concern as a function of a hypothesis. The visual event is optimized by setting a binary variable to true or false as a function of one or more constraints. The optimized visual event is processed in view of associated non-video transaction data and the binary variable by associating the optimized visual event with a logged transaction if associable, issuing an alert if the binary variable is true and the optimized visual event is not associable with the logged transaction, and dropping the optimized visual event if the binary variable is false and the optimized visual event is not associable.
摘要翻译：在一个实施例中，用于确定人类行为的视频数据的自动分析包括提供将视频流分段成多个离散的单独帧图像原语的可编程设备，其被组合成视觉事件，视觉事件可以包含作为功能的关注活动一个假设。通过将二进制变量设置为true或false作为一个或多个约束的函数来优化视觉事件。考虑到相关联的非视频交易数据和二进制变量，通过将优化的可视事件与记录的事务相关联来处理优化的视觉事件，如果可关联，则如果二进制变量为真，并且优化的视觉事件不能与记录的事务，并且如果二进制变量为false并且优化的可视事件不可关联，则丢弃优化的可视事件。

16. 发明申请

US20120008819A1 OPTIMIZATION OF HUMAN ACTIVITY DETERMINATION FROM VIDEO 失效
标题翻译：从视频优化人类活动决定
公开(公告)号：US20120008819A1
公开(公告)日：2012-01-12
申请号：US12832379
申请日：2010-07-08
申请人： Lei Ding , Quanfu Fan , Sharathchandra U. Pankanti
发明人： Lei Ding , Quanfu Fan , Sharathchandra U. Pankanti
IPC分类号： G06K9/00
CPC分类号： G06K9/00335 , G06K9/00771 , G08B13/19613
摘要： In an embodiment, automated analysis of video data for determination of human behavior includes providing a programmable device that segments a video stream into a plurality of discrete individual frame image primitives which are combined into a visual event that may encompass an activity of concern as a function of a hypothesis. The visual event is optimized by setting a binary variable to true or false as a function of one or more constraints. The optimized visual event is processed in view of associated non-video transaction data and the binary variable by associating the optimized visual event with a logged transaction if associable, issuing an alert if the binary variable is true and the optimized visual event is not associable with the logged transaction, and dropping the optimized visual event if the binary variable is false and the optimized visual event is not associable.
摘要翻译：在一个实施例中，用于确定人类行为的视频数据的自动分析包括提供将视频流分段成多个离散的单独帧图像原语的可编程设备，其被组合成视觉事件，视觉事件可以包含作为功能的关注活动一个假设。通过将二进制变量设置为true或false作为一个或多个约束的函数来优化视觉事件。考虑到相关联的非视频交易数据和二进制变量，通过将优化的可视事件与记录的事务相关联来处理优化的视觉事件，如果可关联，则如果二进制变量为真，并且优化的视觉事件不能与记录的事务，并且如果二进制变量为false并且优化的可视事件不可关联，则丢弃优化的可视事件。

17. 发明申请

US20140055609A1 DETERMINING FOREGROUNDNESS OF AN OBJECT IN SURVEILLANCE VIDEO DATA 有权
标题翻译：确定监控视频数据中对象的前兆
公开(公告)号：US20140055609A1
公开(公告)日：2014-02-27
申请号：US13591530
申请日：2012-08-22
申请人： Quanfu Fan , Sharathchandra U. Pankanti
发明人： Quanfu Fan , Sharathchandra U. Pankanti
IPC分类号： G06K9/62 , H04N7/18
CPC分类号： G06K9/00771 , G06T7/11 , G06T7/143 , G06T7/194 , G06T2207/30232
摘要： A computer identifies a proto-object in a digital image using a background subtraction method, the proto-object being associated with a lighting artifact in the surveillance region. The background subtraction method preserves boundary details and interior texture details of proto-objects associated with lighting artifacts. A plurality of characteristics of the proto-object digital data are determined, the characteristics, individually or in combination, distinguish a proto-object related to a lighting artifact from its background. A learning machine, trained with the plurality of characteristics of proto-objects classified as either foreground or not foreground, determines a likelihood that the plurality of characteristics is associated with a foreground object.
摘要翻译：计算机使用背景减法方法识别数字图像中的原型对象，原型对象与监视区域中的照明伪像相关联。背景减法方法保留与照明伪像相关联的原始对象的边界细节和内部纹理细节。确定原始对象数字数据的多个特征，特征单独或组合地将与照明伪影相关的原始物体与其背景区分开。用分类为前景或非前景的原型对象的多个特征训练的学习机器确定多个特征与前景对象相关联的可能性。

18. 发明授权

US09330315B2 Determining foregroundness of an object in surveillance video data 有权
标题翻译：确定监控视频数据中对象的前景
公开(公告)号：US09330315B2
公开(公告)日：2016-05-03
申请号：US13591530
申请日：2012-08-22
申请人： Quanfu Fan , Sharathchandra U. Pankanti
发明人： Quanfu Fan , Sharathchandra U. Pankanti
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06K9/00771 , G06T7/11 , G06T7/143 , G06T7/194 , G06T2207/30232
摘要： A computer identifies a proto-object in a digital image using a background subtraction method, the proto-object being associated with a lighting artifact in the surveillance region. The background subtraction method preserves boundary details and interior texture details of proto-objects associated with lighting artifacts. A plurality of characteristics of the proto-object digital data are determined, the characteristics, individually or in combination, distinguish a proto-object related to a lighting artifact from its background. A learning machine, trained with the plurality of characteristics of proto-objects classified as either foreground or not foreground, determines a likelihood that the plurality of characteristics is associated with a foreground object.
摘要翻译：计算机使用背景减法方法识别数字图像中的原型对象，原型对象与监视区域中的照明伪像相关联。背景减法方法保留与照明伪像相关联的原始对象的边界细节和内部纹理细节。确定原始对象数字数据的多个特征，特征单独或组合地将与照明伪影相关的原始物体与其背景区分开。用分类为前景或非前景的原型对象的多个特征训练的学习机器确定多个特征与前景对象相关联的可能性。

19. 发明申请

US20100114802A1 SYSTEM AND METHOD FOR AUTOMATICALLY DISTINGUISHING BETWEEN CUSTOMERS AND IN-STORE EMPLOYEES 失效
标题翻译：客户和内部员工之间自动辨别的系统和方法
公开(公告)号：US20100114802A1
公开(公告)日：2010-05-06
申请号：US12263928
申请日：2008-11-03
申请人： Russell P. Bobbitt , Quanfu Fan , Sharathchandra U. Pankanti , Akira Yanagawa , Yun Zhai
发明人： Russell P. Bobbitt , Quanfu Fan , Sharathchandra U. Pankanti , Akira Yanagawa , Yun Zhai
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N99/005 , G06Q30/06
摘要： An approach that automatically distinguishes between in-store customers and in-store employees is provided. In one embodiment, there is a learning tool configured to construct a model for an in-store employee; and a classifying tool, further comprising matching tool configured to: match attributes between a particular person and the constructed models for an in-store employee, the classifying tool configured to: classify persons into categories of employees and customers based on amount of matching attributes between a particular person and the model for an in-store employee.
摘要翻译：提供了一种自动区分店内客户和店内员工的方法。在一个实施例中，存在用于构建店内员工的模型的学习工具; 以及分类工具，还包括匹配工具，其被配置为：匹配特定人员和所述店内员工的所构建的模型之间的属性，所述分类工具被配置为：基于所述员工和所述客户的类别，一个特定的人和一个店内员工的模型。

20. 发明申请

US20100114617A1 DETECTING POTENTIALLY FRAUDULENT TRANSACTIONS 审中-公开
标题翻译：检测潜在的欺诈交易
公开(公告)号：US20100114617A1
公开(公告)日：2010-05-06
申请号：US12261256
申请日：2008-10-30
申请人： Russell P. Bobbitt , Quanfu Fan , Sharathchandra U. Pankanti , Akira Yanagawa , Yun Zhai
发明人： Russell P. Bobbitt , Quanfu Fan , Sharathchandra U. Pankanti , Akira Yanagawa , Yun Zhai
IPC分类号： G08B31/00 , G06Q10/00
CPC分类号： G08B13/19671 , G06Q20/202 , G06Q20/401 , G06Q30/06 , G06Q40/12
摘要： An approach that detects potentially fraudulent transactions is provided. In one embodiment, there is a fraud detection tool including, an identification component configured to identify a first person present within a zone of interest at a point of sale (POS) device using a set of sensor devices; a transaction component configured to determine whether the POS device has performed a first transaction and a second transaction while the first person is present within the zone of interest at the POS device; an analysis component configured to: analyze a transaction type of the first transaction and the second transaction; and detect whether the second transaction is potentially fraudulent based on a determination of whether the POS device has performed a first transaction and a second transaction while the first person is within the zone of interest at the POS device, and an analysis of the transaction type of the second transaction.
摘要翻译：提供了一种检测潜在欺诈交易的方法。在一个实施例中，存在欺诈检测工具，其包括识别组件，其被配置为使用一组传感器设备来识别在销售点（POS）设备处存在于感兴趣区域内的第一人物; 交易组件，被配置为当所述第一人在所述POS设备的所述感兴趣区域内存在时，确定所述POS设备是否已经执行了第一交易和第二交易; 分析组件，其被配置为：分析所述第一事务和所述第二事务的事务类型; 并且当所述第一人在所述POS设备的所述感兴趣区域内时，基于所述POS设备是否已经执行了第一交易和所述第二交易的确定来检测所述第二交易是否具有潜在的欺诈性，以及所述交易类型的分析第二笔交易。

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