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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。
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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。
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公开(公告)号：US20130050517A1
公开(公告)日：2013-02-28
申请号：US13218845
申请日：2011-08-26
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。
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公开(公告)号：US09396621B2
公开(公告)日：2016-07-19
申请号：US13428982
申请日：2012-03-23
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。
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5.发明申请公开(公告)号：US20130250115A1
公开(公告)日：2013-09-26
申请号：US13428982
申请日：2012-03-23
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。
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公开(公告)号：US08681232B2
公开(公告)日：2014-03-25
申请号：US13218845
申请日：2011-08-26
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。
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公开(公告)号：US20130329049A1
公开(公告)日：2013-12-12
申请号：US13489489
申请日：2012-06-06
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。
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公开(公告)号：US09260122B2
公开(公告)日：2016-02-16
申请号：US13489489
申请日：2012-06-06
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。
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9.发明授权Method and control unit for activating occupant protection means for a vehicle 有权用于启动车辆的乘员保护装置的方法和控制单元公开(公告)号：US09457749B2
公开(公告)日：2016-10-04
申请号：US12733552
申请日：2008-07-11
申请人： Hoang Trinh
发明人： Hoang Trinh
IPC分类号： B60R21/013 , B60R21/0136 , B60R21/01 , B60R21/0132
CPC分类号： B60R21/013 , B60R21/0136 , B60R2021/0119 , B60R2021/01322
摘要： A control unit and a method for activating an occupant protection unit for a vehicle are provided, the occupant protection unit being activated as a function of a first signal of a first sensor system. The activation is validated as a function of an additional sensor signal, which validation is performed by gating at least one acceleration signal and at least one structure-borne noise signal as the sensor signals.
摘要翻译： 提供了一种用于启动车辆乘员保护单元的控制单元和方法，作为第一传感器系统的第一信号的功能来激活乘客保护单元。 激活被验证为附加传感器信号的函数，其通过选通至少一个加速度信号和至少一个结构传播的噪声信号作为传感器信号来执行验证。
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公开(公告)号：US09036865B2
公开(公告)日：2015-05-19
申请号：US13612345
申请日：2012-09-12
申请人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra Pankanti , Yuichi Fujiji , Hoang Trinh
发明人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra Pankanti , Yuichi Fujiji , Hoang Trinh
CPC分类号： G06T7/0044 , G06T7/74 , G06T2207/10016 , G06T2207/30108 , G06T2207/30252
摘要： A global position of an observed object is determined by obtaining a first global position of an observed object with at least one positioning device. A determination is made as to whether a set of stored visual characteristic information of at least one landmark matches a visual characteristic information set obtained from at least one captured image comprising a scene associated with the observed object. In response to the set of stored visual characteristic information matching the obtained visual characteristic information set, a second global position of the observed object is determined based on a set of stored location information associated with the at least one landmark and the first global position.
摘要翻译： 通过利用至少一个定位装置获得观察对象的第一全局位置来确定观察对象的全局位置。 确定至少一个地标的一组存储的视觉特征信息是否与从包括与观察对象相关联的场景的至少一个拍摄图像获得的视觉特征信息集匹配。 响应于与所获得的视觉特征信息集匹配的所存储的视觉特征信息的集合，基于与至少一个地标和第一全局位置相关联的一组存储的位置信息来确定观察对象的第二全局位置。
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