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公开(公告)号：US20100053329A1
公开(公告)日：2010-03-04
申请号：US12198935
申请日：2008-08-27
CPC分类号： G08B13/196 , G06Q30/0603
摘要： The present invention generally provides an exit security approach. Specifically, among other things, under the present invention: an item image for at least one of a set of items at a shopping checkout station is received; a receipt corresponding to the set of items is received; a first receptacle image of a shopping receptacle holding the set of items is received; a second receptacle image of the shopping receptacle is received; an integrity of the receipt is verified; the first receptacle image is compared to the second receptacle image; and it is determined whether a discrepancy exists based on at least one of the verification of the receipt and the comparison of the first receptacle image to the second receptacle image.
摘要翻译： 本发明通常提供一种出口安全方法。 具体地，在本发明中，接收在购物结账台的一组物品中的至少一个的物品图像; 收到与该组项相对应的收据; 接收保持该组物品的购物容器的第一容器图像; 接收购物容器的第二容器图像; 验收收据的完整性; 将第一容器图像与第二容器图像进行比较; 并且基于接收的验证和第一插座图像与第二插座图像的比较中的至少一个来确定是否存在差异。
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52.发明申请METHOD, SYSTEM, AND PROGRAM PRODUCT FOR DETERMINING A STATE OF A SHOPPING RECEPTACLE 失效用于确定购物者接受状态的方法，系统和程序产品公开(公告)号：US20090268939A1
公开(公告)日：2009-10-29
申请号：US12111652
申请日：2008-04-29
申请人： Jonathan H. Connell, II , Bernadette R. Duponchel , Myron D. Flickner , Norman Haas , Sharathchandra U. Pankanti , Unsang Park
发明人： Jonathan H. Connell, II , Bernadette R. Duponchel , Myron D. Flickner , Norman Haas , Sharathchandra U. Pankanti , Unsang Park
IPC分类号： G06K9/00
CPC分类号： G06Q30/06
摘要： The present invention provides an approach for determining a state of a shopping receptacle. Specifically, under the present approach, an image capture device (e.g., camera) is positioned at the checkout station and/or on the shopping receptacle. The device will capture at least one image of the shopping receptacle during the checkout process and/or when the customer or checkout clerk indicates that the transaction is ready for payment (e.g., all items have been scanned or rung through). Using such image(s), a model for an empty receptacle and a knowledgebase of non-shopping items that may remain in the shopping receptacle, it is determined whether the receptacle is empty. If not, an alarm or other notification will be activated and the events can be logged.
摘要翻译： 本发明提供了一种用于确定购物容器的状态的方法。 具体地说，在目前的方法下，图像拍摄装置（例如，照相机）位于结帐台和/或购物容器上。 该设备将在结帐过程期间和/或当客户或结帐店员指示交易准备好付款时（例如，所有项目已被扫描或横过）捕获购物容器的至少一个图像。 使用这样的图像，空容器的模型和可能留在购物容器中的非购物物品的知识库，确定容器是否为空。 如果没有，则会激活警报或其他通知，并记录事件。
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53.发明授权System and method for determining ridge counts in fingerprint image processing 失效用于确定指纹图像处理中的脊数的系统和方法
公开(公告)号：US6111978A
公开(公告)日：2000-08-29
申请号：US837069
申请日：1997-04-11
IPC分类号： G06K9/00
CPC分类号： G06K9/00067
摘要： A computer based image processing system uses an extraction process to include a pressure invariant feature for measuring distances between minutiae. The feature extraction process identifies one or more of the following features of the fingerprint: an orthogonal image contrast, a parallel image contrast, and a feature confidence. A ridge counter process, executing on the computer system, determines the number of ridges (ridge count) running across two given points and further qualifies (invalidates) this count if the confidence value of the pixels in the region adjoining the region is not reliable. The ridge count feature between minutiae is used for determining reliable features when matching fingerprints.
摘要翻译： 基于计算机的图像处理系统使用提取过程来包括用于测量细节之间的距离的压力不变特征。 特征提取过程识别指纹的以下特征中的一个或多个：正交图像对比度，平行图像对比度和特征置信度。 在计算机系统上执行的脊计数器处理确定在两个给定点上运行的脊数（脊数），并且如果与该区域相邻的区域中的像素的置信度值不可靠，则进一步限定（无效）该计数。 细节之间的脊数特征用于在匹配指纹时确定可靠特征。
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54.发明授权
公开(公告)号：US6072895A
公开(公告)日：2000-06-06
申请号：US823637
申请日：1997-03-25
IPC分类号： G06K9/00
CPC分类号： G06K9/00067
摘要： A computer based image processing system uses an extraction process to extract one or more features from a target fingerprint image. The feature extraction process identifies one or more of the following features of the fingerprint: orthogonal image contrast, parallel image contrast, feature confidence, distance between two minutia, neighbor information, angle-distance between two minutia, angle-distance neighbor information, minutiae density, ridge length, ridge density, and wiggle factor. A pruner process, executing on the computer system, determines if one or more of the features meet any one or more of a set of pruning criteria, and that deletes the minutiae if the pruning criteria is met. The pruning process is based on (i) locations and image contrast, (ii) the distances, orientations of minutiae and (iii) spatial distributions of minutiae and ridges of the fingerprint. The minutiae that remain after the pruning can be used for feature matching.
摘要翻译： 基于计算机的图像处理系统使用提取过程从目标指纹图像中提取一个或多个特征。 特征提取过程识别指纹的以下特征中的一个或多个：正交图像对比度，平行图像对比度，特征置信度，两个细节之间的距离，相邻信息，两个细节之间的角度距离，角距邻近信息，细节密度 ，脊长，脊密度和摆动因子。 在计算机系统上执行的修剪过程确定一个或多个特征是否满足一组修剪标准中的一个或多个，并且如果满足修剪标准则删除细节。 修剪过程基于（i）位置和图像对比度，（ii）细节的距离，方向和（iii）指纹的细节和脊的空间分布。 修剪后留下的细节可用于特征匹配。
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公开(公告)号：US08746557B2
公开(公告)日：2014-06-10
申请号：US12037266
申请日：2008-02-26
IPC分类号： G06K15/00
CPC分类号： A47F9/047 , G06K9/6215 , G06Q30/00 , G07G1/0063 , G07G3/003
摘要： Under the present invention, item verification is automated and expedited. Specifically, items to be purchased can be scanned by the shopper using a barcode reader (e.g., a scanner) attached to or positioned near the shopping receptacle. As items are scanned, they are identified based on their barcode and added to an item list. Item verification can then performed at checkout using imaging technology. For example, the shopping cart or shopping basket can be brought into the field of view of a computer-connected camera. The camera and computer can, working from the customer's item list developed when the items are scanned, observe each product in the receptacle and “ring it up”. If all products can be accounted for, the customer is free to leave; otherwise the customer is denied egress, informed of the problem, etc. A store employee can also be signaled to investigate. The total time required to make the decision is the time to take a picture and process it, which by human standards is very fast; faster than existing verification methods.
摘要翻译： 在本发明中，项目验证是自动化和加速的。 特别地，购物者可以使用附接到购物容器附近或位于购物容器附近的条形码读取器（例如，扫描器）来扫描要购买的物品。 当项目被扫描时，它们根据其条形码被识别并被添加到项目列表中。 然后可以使用成像技术在结帐时执行项目验证。 例如，购物车或购物篮可以被带入计算机连接的相机的视野中。 照相机和计算机可以在扫描物品时开发的客户项目列表中进行操作，观察插座中的每个产品并“振铃”。 如果所有产品都可以核算，客户可以自由离开; 否则客户被拒绝出境，通知问题等。店员也可以被告知调查。 作出决定所需的总时间是拍摄照片和处理时间，人体标准非常快; 比现有的验证方法快。
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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：US20130279743A1
公开(公告)日：2013-10-24
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：US20130016877A1
公开(公告)日：2013-01-17
申请号：US13183760
申请日：2011-07-15
CPC分类号： G06K9/00718 , G06K9/00771 , G06K9/00785 , G06K9/6218 , G06T7/246 , G06T7/73 , G06T2207/10016 , G06T2207/20081
摘要： View-specific object detectors are learned as a function of scene geometry and object motion patterns. Motion directions are determined for object images extracted from a training dataset and collected from different camera scene viewpoints. The object images are categorized into clusters as a function of similarities of their determined motion directions, the object images in each cluster are acquired from the same camera scene viewpoint. Zenith angles are estimated for object image poses in the clusters relative to a position of a horizon in the cluster camera scene viewpoint, and azimuth angles of the poses as a function of a relation of the determined motion directions of the clustered images to the cluster camera scene viewpoint. Detectors are thus built for recognizing objects in input video, one for each of the clusters, and associated with the estimated zenith angles and azimuth angles of the poses of the respective clusters.
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59.发明授权公开(公告)号：US08296573B2
公开(公告)日：2012-10-23
申请号：US10818317
申请日：2004-04-06
IPC分类号： H04L29/06
CPC分类号： G06F21/32 , G06K9/00 , G06K9/00885
摘要： A method and system is provided to provide enrollment of biometric data from individuals without the need for the enrollees to travel to a central location. The system and method provides for optionally detecting multiple types of biometric data, for example, fingerprints, facial scan, visual scan, iris scan, voice scan, or the like, to be captured at the point of enrollee use. During the biometric capture process, the biometric enrollment device monitors and establishes the identity of the enrollee and measures the quality of the biometric input as it occurs. If unacceptable quality is detected, then repeated biometric scans may be necessary, but is done at time of enrollment avoiding any need to send inaccurate information back to a service institution. When the enrollment process completes, the biometric data is encrypted, time stamped and either mailed back to the service institution or is transmitted back. The biometric device may remain with the user for subsequent use as an identification sensor which may authenticate a user with stored biometric information to authenticate a user's identity for a transaction or a request to access a service or equipment. The biometric enrollment device may also be embodied with another piece of equipment to authenticate use of that equipment.
摘要翻译： 提供了一种方法和系统，用于提供来自个体的生物特征数据的登记，而不需要参加者前往中心位置。 该系统和方法提供了可选地检测多个类型的生物特征数据，例如指纹，面部扫描，视觉扫描，虹膜扫描，语音扫描等，以便在登记者使用的位置被捕获。 在生物识别捕获过程中，生物识别注册设备监控并建立登记者的身份，并在其发生时测量生物特征输入的质量。 如果检测到不可接受的质量，则可能需要重复的生物特征扫描，但是在注册时完成，避免任何需要向服务机构发送不准确的信息。 当注册过程完成时，生物特征数据被加密，加盖时间戳，并邮寄回服务机构或被传回。 该生物测定装置可以与用户一起留作用作随后用作识别传感器的识别传感器，其可以使用存储的生物特征信息来认证用户身份以进行交易或访问服务或设备的请求。 生物识别登记装置还可以用另一件设备来体现以认证该设备的使用。
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公开(公告)号：US20120263346A1
公开(公告)日：2012-10-18
申请号：US13085547
申请日：2011-04-13
IPC分类号： G06K9/00
CPC分类号： G06K9/4604 , G06K9/00751
摘要： Training data object images are clustered as a function of motion direction attributes and resized from respective original into same aspect ratios. Motionlet detectors are learned for each of the sets from features extracted from the resized object blobs. A deformable sliding window is applied to detect an object blob in input by varying window size, shape or aspect ratio to conform to a shape of the detected input video object blob. A motion direction of an underlying image patch of the detected input video object blob is extracted and motionlet detectors selected and applied that have similar motion directions. An object is thus detected within the detected blob and semantic attributes of an underlying image patch extracted if a motionlet detectors fires, the extracted semantic attributes available for use for searching for the detected object.
摘要翻译： 训练数据对象图像作为运动方向属性的函数进行聚类，并从相应的原始尺寸变为相同的宽高比。 通过从调整大小的对象斑点中提取的特征，为每个集合学习运动检测器。 应用可变形滑动窗口通过改变窗口尺寸，形状或宽高比来检测输入中的对象斑点，以符合检测到的输入视频对象斑点的形状。 提取检测到的输入视频对象斑点的底层图像块的运动方向，并选择并应用具有相似运动方向的运动检测器。 因此，如果移动检测器触发，则所提取的底层图像块的检测到的blob和语义属性中的对象被检测到，所提取的语义属性可用于搜索检测到的对象。
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