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1. 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。

2. 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。

3. 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。

4. 发明申请

US20110218710A1 METHOD AND CONTROL DEVICE FOR TRIGGERING PASSENGER PROTECTION MEANS FOR A VEHICLE 审中-公开
标题翻译：用于触及乘客的乘客保护手段的方法和控制装置
公开(公告)号：US20110218710A1
公开(公告)日：2011-09-08
申请号：US12737508
申请日：2009-05-25
申请人： Hoang Trinh , Werner Nitschke , Gunther Lang
发明人： Hoang Trinh , Werner Nitschke , Gunther Lang
IPC分类号： B60R21/0136 , B60R21/0132
CPC分类号： B60R21/0136 , B60R2021/01302 , B60R2021/01345
摘要： In a method for triggering a passenger protection arrangement for a vehicle, a crash type is detected with the aid of at least one structure-borne noise signal, and the triggering takes place as a function of the crash type. For the crash type recognition, the structure-borne noise signal is evaluated in a predefined time period with regard to a change in amplitude.
摘要翻译：在用于触发车辆的乘客保护装置的方法中，借助于至少一个结构传播噪声信号来检测碰撞类型，并且触发作为碰撞类型的函数发生。对于碰撞类型识别，关于振幅变化的预定时间段来评估结构噪声信号。

5. 发明申请

US20100256873A1 METHOD AND CONTROL UNIT FOR TRIGGERING OCCUPANT PROTECTION MEANS FOR A VEHICLE 审中-公开
标题翻译：用于对车辆起重作用的保护装置的方法和控制单元
公开(公告)号：US20100256873A1
公开(公告)日：2010-10-07
申请号：US12664658
申请日：2008-05-16
申请人： Hoang Trinh , Ralf Walther
发明人： Hoang Trinh , Ralf Walther
IPC分类号： B60R21/0136
CPC分类号： B60R21/0136
摘要： A method and a control unit for triggering occupant protection means as a function of a structure-borne noise signal are proposed. The occupant protection means are triggered as a function of the crash signal and the structure-borne noise signal, the structure-borne noise signal being evaluated beforehand as a function of at least one friction process which takes place in the vehicle structure.
摘要翻译：提出了一种用于触发作为结构噪声信号的函数的乘员保护装置的方法和控制单元。作为碰撞信号和结构噪声信号的函数触发乘员保护装置，预先评估结构噪声信号作为在车辆结构中发生的至少一个摩擦过程的函数。

6. 发明授权

US07295123B2 Method for detecting a person in a space 有权
标题翻译：用于检测空间中的人的方法
公开(公告)号：US07295123B2
公开(公告)日：2007-11-13
申请号：US10517746
申请日：2003-02-14
申请人： Thomas Engelberg , Steffen Abraham , Heiko Freienstein , Hoang Trinh , Hans-Dieter Bothe
发明人： Thomas Engelberg , Steffen Abraham , Heiko Freienstein , Hoang Trinh , Hans-Dieter Bothe
IPC分类号： G08B23/00
CPC分类号： G06K9/00 , G06K9/00335
摘要： A method for detecting a person in a space includes at least one depth sensor producing spatial data about the space to be monitored, at least one sub-model, which is sub-dividable into further sub-models being used for at least one selected body part of a human, the spatial data being used to adapt the sub-models, the adaptation being checked by position parameters between the sub-models of different body parts, and the person being recognized using a complete model made up of the checked sub-models.
摘要翻译：用于检测空间中的人的方法包括至少一个深度传感器，其产生关于待监视的空间的空间数据，至少一个子模型，其可细分为用于至少一个所选主体的另外的子模型人物的一部分，用于适应子模型的空间数据，通过不同身体部位的子模型之间的位置参数来检查的适应性和使用由所检查的子组件构成的完整模型被识别的人，楷模。

7. 发明申请

US20060187303A1 Imaging generator 有权
标题翻译：成像发生器
公开(公告)号：US20060187303A1
公开(公告)日：2006-08-24
申请号：US10532375
申请日：2003-07-25
申请人： Hans-Dieter Bothe , Hoang Trinh , Heiko Freienstein , Thomas Engelberg
发明人： Hans-Dieter Bothe , Hoang Trinh , Heiko Freienstein , Thomas Engelberg
IPC分类号： H04N7/18
CPC分类号： B60R21/33 , B60R21/00 , G06K9/00362 , G06T7/90 , H04N17/002
摘要： An imaging sensor disposed in a vehicle includes an evaluation unit for monitoring the imaging sensor's operability based on an image signal, for example, by an evaluation of invariant patterns, empirical knowledge about measurement signal profiles, utilizing the redundancy of a network of sensors, or utilizing time-related redundancy.
摘要翻译：设置在车辆中的成像传感器包括：评估单元，用于基于图像信号监视成像传感器的可操作性，例如通过不变图案的评估，关于测量信号轮廓的经验知识，利用传感器网络的冗余，或利用时间冗余。

8. 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。

9. 发明授权

US08681232B2 Visual content-aware automatic camera adjustment 失效
标题翻译：视觉内容感知自动相机调整
公开(公告)号：US08681232B2
公开(公告)日：2014-03-25
申请号：US13218845
申请日：2011-08-26
申请人： Quanfu Fan , Prasad Gabbur , Sachiko Miyazawa , Sharathchandra Pankanti , Hoang Trinh
发明人： Quanfu Fan , Prasad Gabbur , Sachiko Miyazawa , Sharathchandra Pankanti , Hoang Trinh
IPC分类号： H04N7/18 , H04N5/232 , H04N5/225 , 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。

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