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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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43.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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公开(公告)号：US20120242832A1
公开(公告)日：2012-09-27
申请号：US13071768
申请日：2011-03-25
CPC分类号： B60Q1/143 , B60Q2300/312 , B60Q2300/3321 , B60Q2300/41 , B60Q2300/42 , G06K9/00825
摘要： A method, data processing system, and computer program product for managing a headlight on a vehicle are presented. An image of an area in front of the vehicle is received. A first set of features is identified in the received image. The first set of features in the received image is compared with a number of sets of features from a plurality of previous images. Each image in the plurality of previous images is associated with a headlight setting. A second set of features from a previous image in the plurality of previous images matching the first set of features in the received image is identified. A determination is made whether to change a setting for the headlight on the vehicle based on the headlight setting associated with the previous image.
摘要翻译： 提出了一种用于管理车辆前灯的方法，数据处理系统和计算机程序产品。 接收车辆前方的区域的图像。 在接收到的图像中识别出第一组特征。 将接收到的图像中的第一组特征与来自多个先前图像的多个特征集进行比较。 多个先前图像中的每个图像与头灯设置相关联。 识别与接收到的图像中的第一组特征匹配的多个先前图像中的先前图像的第二组特征。 根据与先前图像相关联的头灯设置来确定是否改变车辆前灯的设置。
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46.发明授权Method, system, and program product for determining a state of a shopping receptacle 失效用于确定购物容器状态的方法，系统和程序产品公开(公告)号：US08229158B2
公开(公告)日：2012-07-24
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
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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公开(公告)号：US07889068B2
公开(公告)日：2011-02-15
申请号：US12052046
申请日：2008-03-20
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： G08B13/00 , G06Q20/203 , G06Q20/209 , G08B13/246
摘要： Under the present invention, a single, overall alarm for an entire set of shopping items will be used for any and all discrepancies. The metric used for creating an alarm for the overall set of shopping items can be based on any one of the following candidate policies: if at least one item generated an alarm; if some fixed number of items generated an alarm; if some threshold discrepancy metric got exceed; if basket size is larger than certain threshold cash value and the alarm exceeded certain threshold alarm rate; a randomly generated alarm (e.g., random audit); the customer's identity and track record (e.g., loyalty card); and/or any combination of the above. Regardless, if an overall alarm is generated one or more of the following actions can be taken: no action send the customer to customer service; appropriately record customer track record (e.g., loyalty card) when customer identity is available; audit the customer at the “shop exit; and/or any combination of thereof.
摘要翻译： 在本发明中，对于整个购物项目的单个整体报警将用于任何和所有差异。 用于为整个购物项目创建警报的度量可以基于以下任一候选策略：如果至少一个项目产生了警报; 如果有固定数量的物品产生报警; 如果一些阈值差异度量超过了; 如果篮子尺寸大于某个门槛现金值，并且报警超过一定阈值报警率; 随机生成的警报（例如，随机审计）; 客户的身份和记录（例如会员卡）; 和/或上述的任何组合。 无论如何，如果发生整体报警，可采取以下一项或多项措施：无需向客户提供任何行动; 当客户身份可用时，适当地记录客户记录（例如会员卡）; 在“店铺出口处审核客户; 和/或其任何组合。
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公开(公告)号：US20100282841A1
公开(公告)日：2010-11-11
申请号：US12436831
申请日：2009-05-07
申请人： Jonathan H. Connell II , Mayron D. Flickner , Norman Haas , Arun Hampapur , Sharathchandra U. Pankanti , Yashodhara M. Patnaik
发明人： Jonathan H. Connell II , Mayron D. Flickner , Norman Haas , Arun Hampapur , Sharathchandra U. Pankanti , Yashodhara M. Patnaik
IPC分类号： G06F17/00
CPC分类号： G07G1/12 , G07G1/0018 , G07G3/00
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 checkout station. As items are scanned, they are identified based on their barcode, and added to an item list. Item verification can then be performed at checkout using imaging technology. Specifically, as items are scanned, an item verification unit will capture an appearance thereof (via a camera). Item verification software within the item verification unit will access a database that associates items with their images/appearances. The appearance will be compared for consistency to the identity as determined based on the scan. In general, the item verification unit is a separate unit from the cash register, but adapted to work in conjunction therewith (e.g., as a pluggable system, via wireless communication, etc.).
摘要翻译： 在本发明中，项目验证是自动化和加速的。 特别地，购物者可以使用连接到或位于结帐台附近的条形码读取器（例如扫描器）来扫描购物者。 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。 具体地，当项目被扫描时，项目验证单元将捕获其外观（通过照相机）。 项目验证单元中的物品验证软件将访问将项目与其图像/外观相关联的数据库。 将根据扫描确定的一致性与身份进行比较。 通常，项目验证单元是与收银机分开的单元，但适于与其一起工作（例如，作为可插拔系统，经由无线通信等）。
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公开(公告)号：US08917934B2
公开(公告)日：2014-12-23
申请号：US13523074
申请日：2012-06-14
CPC分类号： G06T7/11 , G06K9/00536 , G06K9/00785 , G06K9/3241 , G06K9/38 , G06K9/4642 , G06T7/13 , G06T7/194 , G06T2207/10016 , G06T2207/10024 , G06T2207/20021 , G06T2207/30236
摘要： Foreground objects of interest are distinguished from a background model by dividing a region of interest of a video data image into a grid array of individual cells that are each smaller than that a foreground object of interest. More particularly, image data of the foreground object of interest spans a contiguous plurality of the cells. Each of the cells are labeled as foreground if accumulated edge energy within the cell meets an edge energy threshold, if color intensities for different colors within each cell differ by a color intensity differential threshold, or as a function of combinations of said determinations in view of one or more combination rules.
摘要翻译： 将感兴趣的前景物体与背景模型区分开，将视频数据图像的感兴趣区域划分为各自小于感兴趣的前景对象的各个单元格的网格阵列。 更具体地，感兴趣的前景对象的图像数据跨越连续的多个单元。 如果每个单元内的不同颜色的颜色强度与颜色强度差异阈值相差，或者作为所述确定的组合的函数，则单元格内的累积边缘能量满足边缘能量阈值时，每个单元格被标记为前景 一个或多个组合规则。
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公开(公告)号：US08903198B2
公开(公告)日：2014-12-02
申请号：US13152615
申请日：2011-06-03
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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