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1. 发明授权

US09260122B2 Multisensor evidence integration and optimization in object inspection 有权
标题翻译：多传感器证据整合和物体检测优化
公开(公告)号：US09260122B2
公开(公告)日：2016-02-16
申请号：US13489489
申请日：2012-06-06
申请人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra U. Pankanti , Hoang Trinh
发明人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra U. Pankanti , Hoang Trinh
IPC分类号： B61L23/04 , G06T7/20
CPC分类号： B61L23/042
摘要： Video image data is acquired from synchronized cameras having overlapping views of objects moving past the cameras through a scene image in a linear array and with a determined speed. Processing units generate one or more object detections associated with confidence scores within frames of the camera video stream data. The confidence scores are modified as a function of constraint contexts including a cross-frame constraint that is defined by other confidence scores of other object detection decisions from the video data that are acquired by the same camera at different times; a cross-view constraint defined by other confidence scores of other object detections in the video data from another camera with an overlapping field-of-view; and a cross-object constraint defined by a sequential context of a linear array of the objects, spatial attributes of the objects and the determined speed of the movement of the objects relative to the cameras.
摘要翻译：视频图像数据从同步摄像机获取，该相机具有通过线性阵列中的场景图像以确定的速度移动通过相机的对象的重叠视图。处理单元产生与相机视频流数据的帧内的置信度分数相关联的一个或多个对象检测。可信度分数被修改为约束上下文的函数，包括由不同时间由同一相机获取的视频数据的其他对象检测决定的其他置信度分数定义的跨帧约束; 由具有重叠视场的另一相机的视频数据中的其他对象检测的其他置信度得分定义的横视约束; 以及由对象的线性阵列，对象的空间属性和所确定的对象相对于照相机的移动速度的顺序上下文定义的跨对象约束。

2. 发明申请

US20130329049A1 MULTISENSOR EVIDENCE INTEGRATION AND OPTIMIZATION IN OBJECT INSPECTION 有权
标题翻译：多媒体证据集成和对象检查优化
公开(公告)号：US20130329049A1
公开(公告)日：2013-12-12
申请号：US13489489
申请日：2012-06-06
申请人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra U. Pankanti , Hoang Trinh
发明人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra U. Pankanti , Hoang Trinh
IPC分类号： H04N7/18
CPC分类号： B61L23/042
摘要： Video image data is acquired from synchronized cameras having overlapping views of objects moving past the cameras through a scene image in a linear array and with a determined speed. Processing units generate one or more object detections associated with confidence scores within frames of the camera video stream data. The confidence scores are modified as a function of constraint contexts including a cross-frame constraint that is defined by other confidence scores of other object detection decisions from the video data that are acquired by the same camera at different times; a cross-view constraint defined by other confidence scores of other object detections in the video data from another camera with an overlapping field-of-view; and a cross-object constraint defined by a sequential context of a linear array of the objects, spatial attributes of the objects and the determined speed of the movement of the objects relative to the cameras.
摘要翻译：视频图像数据从同步摄像机获取，该相机具有通过线性阵列中的场景图像以确定的速度移动通过相机的对象的重叠视图。处理单元产生与相机视频流数据的帧内的置信度分数相关联的一个或多个对象检测。可信度分数被修改为约束上下文的函数，包括由不同时间由同一相机获取的视频数据的其他对象检测决定的其他置信度分数定义的跨帧约束; 由具有重叠视场的另一相机的视频数据中的其他对象检测的其他置信度得分定义的横视约束; 以及由对象的线性阵列，对象的空间属性和所确定的对象相对于照相机的移动速度的顺序上下文定义的跨对象约束。

3. 发明授权

US08061603B2 Controlling shopper checkout throughput 失效
标题翻译：控制购物者结帐吞吐量
公开(公告)号：US08061603B2
公开(公告)日：2011-11-22
申请号：US12052051
申请日：2008-03-20
申请人： Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti
发明人： Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti
IPC分类号： G06K15/00
CPC分类号： G07G1/0054
摘要： The present invention provides a solution for controlling checkout throughput. Specifically, under the present invention a set of attributes of an item will be obtained. An analysis of the set of attributes will then be performed to determine whether an inconsistency exists based on a tolerance threshold. Such analysis can include, for example, comparing the weight of the item to its expected weight. This can help determine if a mistake has been made or fraud has been committed. Whether an inconsistency is observed is based on a tolerance threshold. For example, a certain deviation (i.e., the tolerance threshold) from an expected value could be allowed to could be allowed to reduce errors during the checkout process and thereby increase checkout throughput. As such, the present invention allows the tolerance threshold to be tuned based on a desired checkout throughput.
摘要翻译：本发明提供了一种用于控制检验吞吐量的解决方案。具体地说，在本发明中，将获得一组物品的属性。然后将执行对该组属性的分析，以基于公差阈值确定是否存在不一致。这种分析可以包括例如将物品的重量与其预期重量进行比较。这可以帮助确定是否发生了错误或已经犯了欺诈。观察到不一致是基于公差阈值。例如，可以允许从期望值的一定偏差（即，容限阈值）被允许在结算过程期间减少错误，从而增加结帐吞吐量。因此，本发明允许基于期望的结算吞吐量来调整公差阈值。

4. 发明申请

US20090236419A1 CONTROLLING SHOPPER CHECKOUT THROUGHPUT 失效
标题翻译：控制购物者检查通过
公开(公告)号：US20090236419A1
公开(公告)日：2009-09-24
申请号：US12052051
申请日：2008-03-20
申请人： Jonathan H. Connell II , Myron D. Flickner , Norman Haas , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti
发明人： Jonathan H. Connell II , Myron D. Flickner , Norman Haas , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti
IPC分类号： G06K15/00
CPC分类号： G07G1/0054
摘要： The present invention provides a solution for controlling checkout throughput. Specifically, under the present invention a set of attributes of an item will be obtained. An analysis of the set of attributes will then be performed to determine whether an inconsistency exists based on a tolerance threshold. Such analysis can include, for example, comparing the weight of the item to its expected weight. This can help determine if a mistake has been made or fraud has been committed. Whether an inconsistency is observed is based on a tolerance threshold. For example, a certain deviation (i.e., the tolerance threshold) from an expected value could be allowed to could be allowed to reduce errors during the checkout process and thereby increase checkout throughput. As such, the present invention allows the tolerance threshold to be tuned based on a desired checkout throughput.
摘要翻译：本发明提供了一种用于控制检验吞吐量的解决方案。具体地说，在本发明中，将获得一组物品的属性。然后将执行对该组属性的分析，以基于公差阈值确定是否存在不一致。这种分析可以包括例如将物品的重量与其预期重量进行比较。这可以帮助确定是否发生了错误或已经犯了欺诈。观察到不一致是基于公差阈值。例如，可以允许从期望值的一定偏差（即，容限阈值）被允许在结算过程期间减少错误，从而增加结帐吞吐量。因此，本发明允许基于期望的结算吞吐量来调整公差阈值。

5. 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。

6. 发明授权

US08682032B2 Event detection through pattern discovery 有权
标题翻译：通过模式发现进行事件检测
公开(公告)号：US08682032B2
公开(公告)日：2014-03-25
申请号：US13213262
申请日：2011-08-19
申请人： Quanfu Fan , Prasad Gabbur , Sachiko Miyazawa , Jiyan Pan , Sharathchandra U. Pankanti , Hoang Trinh
发明人： Quanfu Fan , Prasad Gabbur , Sachiko Miyazawa , Jiyan Pan , Sharathchandra U. Pankanti , Hoang Trinh
IPC分类号： G06K9/62
CPC分类号： G06K9/6292 , G06K9/6885
摘要： Events are classified through string pattern recognition. Text labels are assigned to image primitives in a time-ordered set of training images and to related time-ordered transactions in an associated training transaction log in a combined time-ordered training string of text labels as a function of image types. Transactions are labeled in a training transaction log with a transaction label, a training primitive image of a start of a transaction with a start image text label, a training primitive of an entry of a transaction into the log with an entry image text label, and a training primitive of a conclusion of a transaction with an ending image text label. Positive subset string patterns are discovered representing true events from the combined time-ordered training string of text labels, and negative subset string patterns defined by removing single transaction primitive labels from the positive subset string patterns.
摘要翻译：事件通过字符串模式识别分类。将文本标签分配给训练图像的时间有序集合中的图像原语以及相关联的训练事务日志中的相关时间顺序事务，其中文本标签的组合时间有序训练串作为图像类型的函数。事务在具有事务标签的训练事务日志中被标记，具有开始图像文本标签的事务开始的训练原始图像，具有条目图像文本标签的事务入口的训练原语以及与结束图像文本标签交易结论的训练原语。从组合的时间有序的文本标签的训练串中发现表示真实事件的正的子集字符串模式，以及通过从正的子集字符串模式中去除单个事务原始标签而定义的负子集串模式。

7. 发明申请

US20130044942A1 EVENT DETECTION THROUGH PATTERN DISCOVERY 有权
标题翻译：通过图案发现的事件检测
公开(公告)号：US20130044942A1
公开(公告)日：2013-02-21
申请号：US13213262
申请日：2011-08-19
申请人： Quanfu Fan , Prasad Gabbur , Sachiko Miyazawa , Jiyan Pan , Sharathchandra U. Pankanti , Hoang Trinh
发明人： Quanfu Fan , Prasad Gabbur , Sachiko Miyazawa , Jiyan Pan , Sharathchandra U. Pankanti , Hoang Trinh
IPC分类号： G06K9/62
CPC分类号： G06K9/6292 , G06K9/6885
摘要： Events are classified through string pattern recognition. Text labels are assigned to image primitives in a time-ordered set of training images and to related time-ordered transactions in an associated training transaction log in a combined time-ordered training string of text labels as a function of image types. Transactions are labeled in a training transaction log with a transaction label, a training primitive image of a start of a transaction with a start image text label, a training primitive of an entry of a transaction into the log with an entry image text label, and a training primitive of a conclusion of a transaction with an ending image text label. Positive subset string patterns are discovered representing true events from the combined time-ordered training string of text labels, and negative subset string patterns defined by removing single transaction primitive labels from the positive subset string patterns.
摘要翻译：事件通过字符串模式识别分类。将文本标签分配给训练图像的时间有序集合中的图像原语以及相关联的训练事务日志中的相关时间顺序事务，其中文本标签的组合时间有序训练串作为图像类型的函数。事务在具有事务标签的训练事务日志中被标记，具有开始图像文本标签的事务开始的训练原始图像，具有条目图像文本标签的事务入口的训练原语以及与结束图像文本标签交易结论的训练原语。从组合的时间有序的文本标签的训练串中发现表示真实事件的正的子集字符串模式，以及通过从正的子集字符串模式中去除单个事务原始标签而定义的负子集串模式。

8. 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。

9. 发明申请

US20130050517A1 VISUAL CONTENT-AWARE AUTOMATIC CAMERA ADJUSTMENT 失效
标题翻译：视觉内容自动相机调整
公开(公告)号：US20130050517A1
公开(公告)日：2013-02-28
申请号：US13218845
申请日：2011-08-26
申请人： Quanfu Fan , Prasad Gabbur , Sachiko Miyazawa , Sharathchandra U. Pankanti , Hoang Trinh
发明人： Quanfu Fan , Prasad Gabbur , Sachiko Miyazawa , Sharathchandra U. Pankanti , Hoang Trinh
IPC分类号： H04N5/228 , G06K9/00
CPC分类号： G06K9/00 , G06K9/00771 , H04N5/232 , H04N5/23222
摘要： Visual content in images captured from a scene by a camera in each of a plurality of different pose settings are analyzed to determine predicted occurrences of a transaction associated with the visual content in each pose, which are compared with actual transaction occurrence data to generate performance values for each pose as a function difference between the predicted and actual transactions. Optimized poses are chosen having the best performance value, wherein a camera controller may place the camera in the optimum pose for use in monitoring the scene and generating the primitives of interest associated with the transactions.
摘要翻译：分析由多个不同姿势设置中的每一个中的摄像机从场景捕获的图像中的视觉内容，以确定与每个姿态中的视觉内容相关联的事务的预测出现，其与实际交易发生数据进行比较以生成性能值对于每个姿势作为预测和实际交易之间的功能差异。选择具有最佳性能值的优化姿态，其中相机控制器可将相机放置在用于监视场景的最佳姿态并产生与交易相关联的感兴趣的原始图案。

10. 发明授权

US08751414B2 Identifying abnormalities in resource usage 失效
标题翻译：识别资源使用异常
公开(公告)号：US08751414B2
公开(公告)日：2014-06-10
申请号：US13100868
申请日：2011-05-04
申请人： Ankur Datta , Charles A. Otto , Sharathchandra U. Pankanti
发明人： Ankur Datta , Charles A. Otto , Sharathchandra U. Pankanti
IPC分类号： G06N5/04 , G06F11/07 , G06F11/30
CPC分类号： G06F11/0751 , G06F11/3058 , G06F11/3082
摘要： A method, data processing system, and computer program product for identifying abnormalities in data. A model representing a plurality of modes for an activity generated from training data is retrieved. The training data includes a first plurality of measurements of a first performance of the activity over a period of time. Each of the plurality of modes is identified as one of normal and abnormal. Activity data including a second plurality of measurements of a second performance of the activity is received. A portion of the activity data is compared with the plurality of modes in the model. A notification of an abnormality in the second performance of the activity is generated in response to an identification that the portion of the activity data matches a mode in the plurality of modes identified as abnormal. Confirmation of the abnormality is requested via a user interface.
摘要翻译：一种用于识别数据异常的方法，数据处理系统和计算机程序产品。检索表示从训练数据生成的活动的多个模式的模型。训练数据包括在一段时间内第一次执行活动的测量。多个模式中的每一个被标识为正常和异常之一。接收包括活动的第二次执行的第二多个测量的活动数据。将活动数据的一部分与模型中的多个模式进行比较。响应于识别出活动数据的一部分与被识别为异常的多个模式中的模式相匹配的标识来生成第二次活动的异常的通知。通过用户界面要求确认异常。

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