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公开(公告)号：US20100030685A1
公开(公告)日：2010-02-04
申请号：US12182229
申请日：2008-07-30
申请人： Russell P. Bobbitt , Sergio Borger , Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Arun Hampapur , Sharathchandra U. Pankanti , Unsang Park
发明人： Russell P. Bobbitt , Sergio Borger , Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Arun Hampapur , Sharathchandra U. Pankanti , Unsang Park
IPC分类号： G06Q40/00
摘要： Under the present invention a transaction is processed and analyzed for potential fraud or error. Specifically, a description of a (proposed) transaction is accessed. Among other things, the description contains an expected set of events (e.g., derived from historical data). As the transaction is being performed a set of multimedia devices will record the same. The multimedia signal(s) from the set of devices will be analyzed to determine what event(s) actually took place. The actual event(s) will be compared to the expected event(s) to determine if any deviation/difference exists. If there is a difference, and it is beyond a predetermined tolerance, a notification can be generated. Regardless, a log of the activities will be kept.
摘要翻译： 在本发明的情况下，处理和分析交易是潜在的欺诈或错误。 具体来说，访问（建议）交易的描述。 除此之外，描述包含预期的一组事件（例如，从历史数据派生）。 当交易正在执行时，一组多媒体设备将记录相同。 将分析来自该组设备的多媒体信号以确定实际发生的事件。 将实际事件与预期事件进行比较，以确定是否存在任何偏差/差异。 如果存在差异，并且超出预定的容限，则可以生成通知。 无论如何，将保留活动记录。
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公开(公告)号：US20080296392A1
公开(公告)日：2008-12-04
申请号：US11756382
申请日：2007-05-31
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
CPC分类号： G07F7/02 , G06Q20/208 , G06Q20/343 , G07G1/0054 , G07G1/0081
摘要： The present invention provides portable-device based store checkout. Specifically, a portable device is configured for store checkout. When the shopper obtains an item, he/she scans its barcode and captures its image using the portable device. The identity of the item as determined based on the barcode is compared with its appearance as determined based on the image. If the two are consistent with one another, the item is added to an inventory of items. The shopper can checkout by linking (e.g., porting) the portable device to a checkout station. The linking will cause the inventory of items to be made known to the checkout station, which will arrange payment using the portable device. Optionally, as an additional validation, the shopping receptacle can be weighed at the checkout station to make sure it reasonably meets an expected weight determined based on the inventory.
摘要翻译： 本发明提供了基于便携式设备的商店结帐。 具体地，便携式设备被配置用于存储检验。 当购物者获得物品时，他/她扫描其条形码并使用便携式设备拍摄其图像。 将基于条形码确定的物品的身份与根据图像确定的外观进行比较。 如果两者相互保持一致，则将项目添加到项目清单中。 购物者可以通过将便携式设备链接（例如，移植）到结帐站来检出。 链接将导致结帐库的物品库存已知，这将使用便携式设备来安排付款。 可选地，作为额外的验证，可以在结帐台对购物容器进行称重，以确保其合理地满足基于库存确定的预期重量。
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公开(公告)号：US07457433B2
公开(公告)日：2008-11-25
申请号：US11039497
申请日：2005-01-20
CPC分类号： H04N7/185 , G06T3/4038 , G06T7/246 , G08B13/19608 , G08B13/19663
摘要： A novel system and method of treating the output of moving cameras, in particular ones that enable the application of conventional “static camera” algorithms, e.g., to enable the continuous vigilance of computer surveillance technology to be applied to moving cameras that cover a wide area. According to the invention, a single camera is deployed to cover an area that might require many static cameras and a corresponding number of processing units. A novel system for processing the main video sufficiently enables long-term change detection, particularly the observation that a static object has been moved or has appeared, for instance detecting the parking and departure of vehicles in a parking lot, the arrival of trains in stations, delivery of goods, arrival and dispersal of people, or any other application.
摘要翻译： 一种处理移动摄像机的输出的新型系统和方法，特别是能够应用常规“静态摄像机”算法的系统和方法，例如，能够将计算机监视技术的持续警觉性应用于覆盖广域的移动摄像机 。 根据本发明，单个相机被部署以覆盖可能需要许多静态相机和相应数量的处理单元的区域。 用于处理主视频的新型系统充分实现长期变化检测，特别是静态物体已被移动或已经出现的观察，例如检测停车场中车辆的停车和离开，列车到达车站 货物的运送，人员的到达和分散，或任何其他的应用程序。
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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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公开(公告)号：US09330315B2
公开(公告)日：2016-05-03
申请号：US13591530
申请日：2012-08-22
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。
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公开(公告)号：US09158976B2
公开(公告)日：2015-10-13
申请号：US13110331
申请日：2011-05-18
IPC分类号： G08B13/196 , G06K9/00 , G06F19/24 , G06K9/62
CPC分类号： G06K9/00771 , G06F19/24 , G06K9/6284 , G06T7/251 , G08B13/19606
摘要： Local models learned from anomaly detection are used to rank detected anomalies. The local models include image feature values extracted from an image field of video image data with respect to different predefined spatial and temporal local units, wherein anomaly results are determined by failures to fit to applied anomaly detection module local models. Image features values extracted from the image field local units associated with anomaly results are normalized, and image feature values extracted from the image field local units are clustered. Weights for anomaly results are learned as a function of the relations of the normalized extracted image feature values to the clustered image feature values. The normalized values are multiplied by the learned weights to generate ranking values to rank the anomalies.
摘要翻译： 从异常检测中获取的局部模型用于对检测到的异常进行排序。 本地模型包括从视频图像数据的图像字段提取的关于不同的预定空间和时间局部单位的图像特征值，其中异常结果由适合于应用的异常检测模块本地模型的失败确定。 从与异常结果相关联的图像场本地单元提取的图像特征值被归一化，并且从图像场本地单元提取的图像特征值被聚类。 根据归一化提取的图像特征值与聚类图像特征值的关系来学习异常结果的权重。 归一化值乘以学习权重以产生排序值以排除异常。
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公开(公告)号：US09050984B2
公开(公告)日：2015-06-09
申请号：US13451610
申请日：2012-04-20
CPC分类号： B61L23/042 , G06T7/0004 , G06T7/194 , G06T2207/30136 , G06T2207/30164 , G06T2207/30242 , G06T2207/30252
摘要： A method and system for inspecting railway components. The method includes receiving a stream of images containing railway components, detecting a railway component in each image, generating a plurality of feature vectors for each railway component image, measuring the dissimilarity between the railway component and a set of railway components detected in preceding images, in a sliding window, based on the feature vectors.
摘要翻译： 检查铁路部件的方法和系统。 该方法包括接收包含铁路部件的图像流，检测每个图像中的铁路部件，为每个铁路部件图像生成多个特征向量，测量铁路部件与在先前图像中检测到的一组铁路部件之间的不相似性， 在滑动窗口中，基于特征向量。
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公开(公告)号：US08751414B2
公开(公告)日：2014-06-10
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：US08548203B2
公开(公告)日：2013-10-01
申请号：US12834104
申请日：2010-07-12
申请人： Russell P. Bobbitt , Lei Ding , Quanfu Fan , Sachiko Miyazawa , Sharathchandra U. Pankanti , Yun Zhai
发明人： Russell P. Bobbitt , Lei Ding , Quanfu Fan , Sachiko Miyazawa , Sharathchandra U. Pankanti , Yun Zhai
CPC分类号： G06K9/00335 , G06K9/00771 , G06K9/6224
摘要： Human behavior is determined by sequential event detection by constructing a temporal-event graph with vertices representing adjacent first and second primitive images of a plurality of individual primitive images parsed from a video stream, and also of first and second idle states associated with the respective first and second primitive images. Constructing the graph is a function of an edge set between the adjacent first and second primitive images, and an edge weight set as a function of a discrepancy between computed visual features within regions of interest common to the adjacent first and second primitive images. A human activity event is determined as a function of a shortest distance path of the temporal-event graph vertices.
摘要翻译： 通过构建具有表示从视频流解析的多个单独原始图像的相邻第一和第二原始图像的顶点的时间事件图以及与各自的第一和第二空闲状态相关联的第一和第二空闲状态，通过顺序事件检测来确定人的行为 和第二原始图像。 构造图是在相邻的第一和第二原始图像之间设置的边缘的函数，以及作为相邻第一和第二原始图像共同的感兴趣区域内的计算的视觉特征之间的差异的函数的边缘权重集合。 人类活动事件被确定为时间 - 事件图形顶点的最短距离路径的函数。
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50.发明申请公开(公告)号：US20100157051A1
公开(公告)日：2010-06-24
申请号：US12342482
申请日：2008-12-23
IPC分类号： H04N9/47
CPC分类号： G06Q10/00
摘要： An approach that allows for detecting and deterring RFID tag related fraud is provided. In one embodiment, there is a generating tool configured to generate a set of tag-item models based on results of a cumulative training process; detecting tool configured to detect discrepancy between an expected appearance of the item as determined from analyzing corresponding tag-item model and an actual appearance of the item as captured by color camera, and an acknowledging tool configured to acknowledge said detected discrepancy.
摘要翻译： 提供了一种允许检测和阻止RFID标签相关欺诈的方法。 在一个实施例中，存在一种生成工具，其被配置为基于累积训练过程的结果生成一组标签项模型; 检测工具，被配置为检测从分析对应的标签项目模型确定的项目的预期外观与由彩色照相机捕获的项目的实际外观之间的差异;以及确认工具，其被配置为确认所检测到的差异。
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