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公开(公告)号：US08544736B2
公开(公告)日：2013-10-01
申请号：US11782173
申请日：2007-07-24
申请人： Jonathan H. Connell, II , Arun Hampapur , Sharathchandra U. Pankanti , Andrew W. Senior , Craig Velliquette
发明人： Jonathan H. Connell, II , Arun Hampapur , Sharathchandra U. Pankanti , Andrew W. Senior , Craig Velliquette
IPC分类号： G06K15/00
CPC分类号： G06F17/30244 , G06K7/14 , G06K9/00 , G06K2017/0077
摘要： The present invention provides an item scanning system in which an appearance of an item is received (e.g., at checkout). The appearance is captured with an image capture device (e.g., still frame camera, video camera, etc.) that can be collocated with a barcode scanner. In being collocated, the image capture device can be positioned proximate (e.g., near, attached to, etc.) the bar code scanner, integrated within a common housing/unit with the barcode scanner, etc. In any event, a search engine will then search a database of items based on the appearance to identify a set of items that potentially match the item. When one of the set of items is selected (e.g., by the checkout clerk), the selection will be received and stored for future investigation/auditing.
摘要翻译： 本发明提供了一种项目扫描系统，其中接收到项目的外观（例如，在结帐时）。 使用可与条形码扫描器并置的图像捕获装置（例如，静止相机，摄像机等）捕获外观。 在配置时，图像捕获设备可以被定位成与条形码扫描器等集成在公共壳体/单元内的条形码扫描器的附近（例如，附近，附接到等等）。在任何情况下，搜索引擎将 然后根据外观搜索项目的数据库，以识别潜在地匹配该项目的一组项目。 当选择了一组项目（例如，通过结帐店员）时，将接收并存储该选择用于将来的调查/审计。
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82.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：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：US08457355B2
公开(公告)日：2013-06-04
申请号：US13101401
申请日：2011-05-05
CPC分类号： G06T7/20 , G06K9/00208 , G06T7/251 , G06T13/20 , G06T17/00 , G06T19/006
摘要： A moving object detected and tracked within a field of view environment of a 2D data feed of a calibrated video camera is represented by a 3D model through localizing a centroid of the object and determining an intersection with a ground-plane within the field of view environment. An appropriate 3D mesh-based volumetric model for the object is initialized by using a back-projection of a corresponding 2D image as a function of the centroid and the determined ground-plane intersection. Nonlinear dynamics of a tracked motion path of the object are represented as a collection of different local linear models. A texture of the object is projected onto the 3D model, and 2D tracks of the object are upgraded to 3D motion to drive the 3D model by learning a weighted combination of the different local linear models that minimizes an image re-projection error of model movement.
摘要翻译： 在校准摄像机的2D数据馈送的视野环境内检测和跟踪的移动物体由3D模型表示，其通过定位对象的质心并确定视场环境内的接地平面的交点 。 通过使用对应的2D图像的反投影作为质心和确定的地面交点的函数来初始化用于对象的适当的基于3D网格的体积模型。 对象的跟踪运动路径的非线性动力学被表示为不同局部线性模型的集合。 将对象的纹理投影到3D模型上，并且将对象的2D轨迹升级到3D运动，以通过学习不同局部线性模型的加权组合来驱动3D模型，从而最小化模型运动的图像重新投影误差 。
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公开(公告)号：US20130051613A1
公开(公告)日：2013-02-28
申请号：US13220213
申请日：2011-08-29
IPC分类号： G06K9/00
CPC分类号： G06K9/00771
摘要： A foreground object blob having a bounding box detected in frame image data is classified by a finite state machine as a background, moving foreground, or temporally static object, namely as the temporally static object when the detected bounding box is distinguished from a background model of a scene image of the video data input and remains static in the scene image for a threshold period. The bounding box is tracked through matching masks in subsequent frame data of the video data input, and the object sub-classified within a visible sub-state, an occluded sub-state, or another sub-state that is not visible and not occluded as a function of a static value ratio. The ratio is a number of pixels determined to be static by tracking in a foreground region of the background model corresponding to the tracked object bounding box over a total number of pixels of the foreground region.
摘要翻译： 在帧图像数据中检测到的具有边界框的前景对象斑点被分类为有限状态机作为背景，移动前景或时间静态对象，即当检测到的边界框与背景模型 输入视频数据的场景图像，并在场景图像中保持静止阈值周期。 通过视频数据输入的后续帧数据中的匹配掩码来跟踪边界框，并且将子分类在可见子状态，闭塞子状态或不可见并且不被遮挡的另一子状态中的对象作为 静态值比的函数。 所述比例是通过在前景区域的总数目的像素对应于跟踪对象边界框的背景模型的前景区域中进行跟踪而确定为静态的像素的数量。
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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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87.发明申请公开(公告)号：US20120324235A1
公开(公告)日：2012-12-20
申请号：US13598063
申请日：2012-08-29
IPC分类号： G06F21/00
CPC分类号： G06F21/32 , G06K9/00 , G06K9/00885
摘要： Methods and systems for remotely enrolling enrollees into biometric databases are provided. The method includes acquiring biometric data from one or more biometric sensors and authenticating an enrollee associated with the biometric data. The method includes enrolling the authenticated enrollee associated with the biometric data. The acquiring occurs externally from equipment that requires an identification. The method includes verifying individual samplings of the biometric data for quality at the time of enrollment based on a pre-determined threshold and verifying whether the enrollee presenting the biometric data is authenticated at the time of enrollment. The method includes signing a request of a third party with a private key associated with the third party, the signing denoting that the biometric data is verified for a transaction between the third party and the enrollee. The method includes sending the signed third party request to the third party to complete authenticating of the transaction.
摘要翻译： 提供了将参加者远程登记到生物特征数据库中的方法和系统。 该方法包括从一个或多个生物测定传感器获取生物特征数据并认证与生物特征数据相关联的参与者。 该方法包括登记与生物特征数据相关联的认证登记者。 该采集从需要识别的设备外部进行。 该方法包括基于预先确定的阈值来验证登记时的生物体数据的质量的各个采样，并且验证在登记时是否认证呈现生物特征数据的登记者。 该方法包括使用与第三方相关联的私钥对第三方的请求进行签名，该签名表示生物特征数据被验证用于第三方和登记者之间的交易。 该方法包括向第三方发送签名的第三方请求以完成交易的认证。
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公开(公告)号：US20120308121A1
公开(公告)日：2012-12-06
申请号：US13152615
申请日：2011-06-03
IPC分类号： G06K9/62
CPC分类号： G06F17/30256 , G06F17/30277 , G06F17/3028 , G06F17/3053 , G06K9/00268 , G06K9/481 , G06K9/6263 , G06K9/66 , G06N99/005
摘要： Images are retrieved and ranked according to relevance to attributes of a multi-attribute query through training image attribute detectors for different attributes annotated in a training dataset. Pair-wise correlations are learned between pairs of the annotated attributes from the training dataset of images. Image datasets may then be searched via the trained attribute detectors for images comprising attributes in a multi-attribute query, wherein images are retrieved from the searching that each comprise one or more of the query attributes and also in response to information from the trained attribute detectors corresponding to attributes that are not a part of the query but are relevant to the query attributes as a function of the learned plurality of pair-wise correlations. The retrieved images are ranked as a function of respective total numbers of attributes within the query subset attributes.
摘要翻译： 根据与训练数据集中注释的不同属性的训练图像属性检测器，根据与多属性查询的属性的相关性来检索和排列图像。 在图像训练数据集的注释属性对之间学习成对相关。 然后可以经由经训练的属性检测器搜索包括多属性查询中的属性的图像的图像数据集，其中从搜索中检索每个包括一个或多个查询属性的图像，并且还响应于来自经训练的属性检测器的信息 对应于不是查询的一部分但与所学习的多个成对相关性的函数的查询属性相关的属性。 检索到的图像根据查询子集属性内的各个属性总数的顺序排列。
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公开(公告)号：US20120284211A1
公开(公告)日：2012-11-08
申请号：US13100868
申请日：2011-05-04
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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公开(公告)号：US08280763B2
公开(公告)日：2012-10-02
申请号：US12037270
申请日：2008-02-26
申请人： Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Arun Hampapur , Sharathchandra U. Pankanti
发明人： Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Arun Hampapur , Sharathchandra U. Pankanti
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0242
摘要： The present invention provides an approach for rewarding customers for use of self-checkout stations and, optionally, for being self-sufficient in such use by not requiring retailer (employee) assistance. Specifically, the under the present invention, a set of service choices made by a customer during purchasing transactions are tracked. Such service choices include whether the customer elected to use self-checkout stations. In addition, a frequency of assistance needed by the customer during the purchasing transactions will be tracked. Such tracking can be accomplished using any known technology including the use of the customer loyalty cards that are assigned to specific customers. In any event, a reward can be offered to the customer if the customer elected to use self-checkout stations to complete at least a subset of the purchasing transactions, and/or if the frequency of assistance needed by the customer during the purchasing transactions fell below a predetermined threshold.
摘要翻译： 本发明提供了一种用于奖励客户使用自助结账站的方法，并且可选地，在不需要零售商（雇员）协助的情况下为了这种使用而自给自足。 具体地说，根据本发明，跟踪顾客在购买交易期间做出的一组服务选择。 这样的服务选择包括客户是否选择使用自助结账站。 此外，客户在采购交易中需要的频率也将被跟踪。 这种跟踪可以使用任何已知技术来实现，包括使用分配给特定客户的客户会员卡。 无论如何，如果客户选择使用自助结账站完成至少一部分采购交易，和/或如果客户在采购交易期间所需的协助频率下降，则可以向客户提供奖励 低于预定阈值。
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