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1. 发明授权

US09036865B2 Location determination for an object using visual data 有权
标题翻译：使用视觉数据的对象的位置确定
公开(公告)号：US09036865B2
公开(公告)日：2015-05-19
申请号：US13612345
申请日：2012-09-12
申请人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra Pankanti , Yuichi Fujiji , Hoang Trinh
发明人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra Pankanti , Yuichi Fujiji , Hoang Trinh
IPC分类号： G06K9/62 , G06T7/00
CPC分类号： G06T7/0044 , G06T7/74 , G06T2207/10016 , G06T2207/30108 , G06T2207/30252
摘要： A global position of an observed object is determined by obtaining a first global position of an observed object with at least one positioning device. A determination is made as to whether a set of stored visual characteristic information of at least one landmark matches a visual characteristic information set obtained from at least one captured image comprising a scene associated with the observed object. In response to the set of stored visual characteristic information matching the obtained visual characteristic information set, a second global position of the observed object is determined based on a set of stored location information associated with the at least one landmark and the first global position.
摘要翻译：通过利用至少一个定位装置获得观察对象的第一全局位置来确定观察对象的全局位置。确定至少一个地标的一组存储的视觉特征信息是否与从包括与观察对象相关联的场景的至少一个拍摄图像获得的视觉特征信息集匹配。响应于与所获得的视觉特征信息集匹配的所存储的视觉特征信息的集合，基于与至少一个地标和第一全局位置相关联的一组存储的位置信息来确定观察对象的第二全局位置。

2. 发明授权

US08447139B2 Object recognition using Haar features and histograms of oriented gradients 失效
标题翻译：使用Haar特征的对象识别和定向梯度的直方图
公开(公告)号：US08447139B2
公开(公告)日：2013-05-21
申请号：US13085985
申请日：2011-04-13
申请人： Weiguang Guan , Norman Haas , Ying Li , Sharathchandra Pankanti
发明人： Weiguang Guan , Norman Haas , Ying Li , Sharathchandra Pankanti
IPC分类号： G06K9/62 , G06K9/36
CPC分类号： G06K9/00818 , G06K9/6257
摘要： A system and method to detect objects in a digital image. At least one image representing at least one frame of a video sequence is received. A sliding window of different window sizes at different locations is placed in the image. A cascaded classifier including a plurality of increasingly accurate layers is applied to each window size and each location. Each layer includes a plurality of classifiers. An area of the image within a current sliding window is evaluated using one or more weak classifiers in the plurality of classifiers based on at least one of Haar features and Histograms of Oriented Gradients features. An output of each weak classifier is a weak decision as to whether the area of the image includes an instance of an object of a desired object type. A location of the zero or more images associated with the desired object type is identified.
摘要翻译：一种用于检测数字图像中的对象的系统和方法。接收表示视频序列的至少一帧的至少一个图像。在不同位置的不同窗口大小的滑动窗口被放置在图像中。包括多个越来越精确的层的级联分类器被应用于每个窗口大小和每个位置。每个层包括多个分类器。基于Haar特征和定向梯度特征的至少一个，使用多个分类器中的一个或多个弱分类器来评估当前滑动窗口内的图像的区域。每个弱分类器的输出是关于图像的区域是否包括期望对象类型的对象的实例的弱决定。识别与所需对象类型相关联的零个或多个图像的位置。

3. 发明申请

US20130101221A1 ANOMALY DETECTION IN IMAGES AND VIDEOS 失效
标题翻译：图像和视频中的异常检测
公开(公告)号：US20130101221A1
公开(公告)日：2013-04-25
申请号：US13280896
申请日：2011-10-25
申请人： Yuichi Fujiki , Norman Haas , Ying Li , Charles A. Otto , Balamanohar Paluri , Sharathchandra Pankanti
发明人： Yuichi Fujiki , Norman Haas , Ying Li , Charles A. Otto , Balamanohar Paluri , Sharathchandra Pankanti
IPC分类号： G06K9/62 , G06K9/46
CPC分类号： G06K9/6284 , B61L23/044 , B61L23/047 , B61L23/048 , G06K9/6218
摘要： A system, method, and computer program product for detecting anomalies in an image. In an example embodiment the method includes partitioning each image of a set of images into a plurality of image local units. The method further includes clustering all local units in the image set into clusters, and consequently assigning a class label to each local unit based on the clustering results. The local units with identical class labels having at least one substantially related image feature. Further, the method includes assigning a weight to each of the local units based on a variation of the class labels across all images in a set of images. The method further includes performing a clustering over all images in the set by using a distance metric that takes the learned weight of each local unit into account, then determining the images that belong to minorities of the clusters as anomalies.
摘要翻译：一种用于检测图像异常的系统，方法和计算机程序产品。在示例实施例中，该方法包括将一组图像的每个图像划分为多个图像本地单元。该方法还包括将图像集中的所有局部单元聚类成群集，并且因此基于聚类结果将类标签分配给每个本地单元。具有相同类别标签的本地单元具有至少一个基本上相关的图像特征。此外，该方法包括基于一组图像中的所有图像上的类别标签的变化来为每个本地单元分配权重。该方法还包括通过使用考虑每个本地单元的学习权重的距离度量来执行集合中的所有图像的聚类，然后将属于集群的少数群体的图像确定为异常。

4. 发明申请

US20090236419A1 CONTROLLING SHOPPER CHECKOUT THROUGHPUT 失效
标题翻译：控制购物者检查通过
公开(公告)号：US20090236419A1
公开(公告)日：2009-09-24
申请号：US12052051
申请日：2008-03-20
申请人： Jonathan H. Connell II , Myron D. Flickner , Norman Haas , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti
发明人： Jonathan H. Connell II , Myron D. Flickner , Norman Haas , Arun Hampapur , Charles A. Otto , Sharathchandra U. Pankanti
IPC分类号： G06K15/00
CPC分类号： G07G1/0054
摘要： The present invention provides a solution for controlling checkout throughput. Specifically, under the present invention a set of attributes of an item will be obtained. An analysis of the set of attributes will then be performed to determine whether an inconsistency exists based on a tolerance threshold. Such analysis can include, for example, comparing the weight of the item to its expected weight. This can help determine if a mistake has been made or fraud has been committed. Whether an inconsistency is observed is based on a tolerance threshold. For example, a certain deviation (i.e., the tolerance threshold) from an expected value could be allowed to could be allowed to reduce errors during the checkout process and thereby increase checkout throughput. As such, the present invention allows the tolerance threshold to be tuned based on a desired checkout throughput.
摘要翻译：本发明提供了一种用于控制检验吞吐量的解决方案。具体地说，在本发明中，将获得一组物品的属性。然后将执行对该组属性的分析，以基于公差阈值确定是否存在不一致。这种分析可以包括例如将物品的重量与其预期重量进行比较。这可以帮助确定是否发生了错误或已经犯了欺诈。观察到不一致是基于公差阈值。例如，可以允许从期望值的一定偏差（即，容限阈值）被允许在结算过程期间减少错误，从而增加结帐吞吐量。因此，本发明允许基于期望的结算吞吐量来调整公差阈值。

5. 发明授权

US06892193B2 Method and apparatus for inducing classifiers for multimedia based on unified representation of features reflecting disparate modalities 失效
标题翻译：基于反映不同模式的特征的统一表示来诱导多媒体分类器的方法和装置
公开(公告)号：US06892193B2
公开(公告)日：2005-05-10
申请号：US09853191
申请日：2001-05-10
申请人： Rudolf M. Bolle , Norman Haas , Frank J. Oles , Tong Zhang
发明人： Rudolf M. Bolle , Norman Haas , Frank J. Oles , Tong Zhang
IPC分类号： G06F17/30 , G06K9/00 , G06F7/00 , G06F15/00
CPC分类号： G06F17/30707 , G06F17/30253 , G06F17/30746 , G06F17/30787 , G06F17/30796 , G06F17/30802 , G06F17/30811 , G06K9/00711
摘要： This invention is a system and method to perform categorization (classification) of multimedia items. These items are comprised of a multitude of disparate information sources, in particular, visual information and textual information. Classifiers are induced based on combining textual and visual feature vectors. Textual features are the traditional ones, such as, word count vectors. Visual features include, but are not limited to, color properties of key intervals and motion properties of key intervals. The visual feature vectors are determined in such a fashion that the vectors are sparse. The vector components are features such as the absence or presence of the color green in spatial regions and the absence or the amount of visual flow in spatial regions of the media items. The text and the visual representation vectors are combined in a systematic and coherent fashion. This vector representation of a media item lends itself to well-established learning techniques. The resulting system, subject of this invention, categorizes (or classifies) media items based both on textual features and visual features.
摘要翻译：本发明是一种执行多媒体项目分类（分类）的系统和方法。这些项目包括大量不同的信息来源，特别是视觉信息和文本信息。基于组合文本和视觉特征向量来诱导分类器。文字特征是传统的，例如字数向量。视觉特征包括但不限于按键间隔的颜色属性和键间隔的运动属性。以这样的方式确定视觉特征向量，使得向量是稀疏的。矢量分量是诸如空间区域中不存在或存在绿色的特征，以及媒体项目的空间区域中的视觉流量的不存在或量。文本和视觉表示向量以系统和连贯的方式组合。媒体项目的向量表示方式适用于建立良好的学习技术。本发明主题的所得系统基于文本特征和视觉特征对媒体项进行分类（或分类）。

6. 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。

7. 发明授权

US09047742B2 Visual security for point of sale terminals 有权
标题翻译：销售终端视觉安全
公开(公告)号：US09047742B2
公开(公告)日：2015-06-02
申请号：US12436831
申请日：2009-05-07
申请人： Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Arun Hampapur , Sharathchandra U. Pankanti , Yashodhara M. Patnaik
发明人： Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Arun Hampapur , Sharathchandra U. Pankanti , Yashodhara M. Patnaik
IPC分类号： G06F17/00 , G07G1/12 , G07G1/00 , G07G3/00
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）。

8. 发明授权

US09036025B2 System and method for inexpensive railroad track imaging for inspection 有权
标题翻译：廉价的轨道成像系统和方法进行检查
公开(公告)号：US09036025B2
公开(公告)日：2015-05-19
申请号：US13348326
申请日：2012-01-11
申请人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra Pankanti
发明人： Norman Haas , Ying Li , Charles A. Otto , Sharathchandra Pankanti
IPC分类号： H04N7/18 , B61K9/08 , B61L23/04 , B61L27/00 , G01B11/245 , G06K9/20
CPC分类号： H04N7/18 , B61K9/08 , B61L23/044 , B61L23/045 , B61L23/047 , B61L23/048 , B61L27/0088 , G01B11/245 , G06K9/209 , G06K2209/19
摘要： An imaging system includes an image capturing device and a plurality of reflective devices. The image capturing device is configured to receive a plurality of images reflected by the plurality of reflective devices. Responsive to receiving the plurality of images, the image capturing device is further configured to capture within a single frame at least a first image corresponding to a first side of a first railroad track rail, a second image corresponding to a second side of the first railroad track rail, a third image corresponding to a first side of a second railroad track rail, and a fourth image corresponding to a second side of the second railroad track rail.
摘要翻译：成像系统包括图像捕获装置和多个反射装置。图像捕获装置被配置为接收由多个反射装置反射的多个图像。响应于接收多个图像，图像捕获装置还被配置为在单个帧内捕获与第一铁路轨道的第一侧对应的至少第一图像，对应于第一铁路的第二侧的第二图像轨道轨道，对应于第二轨道轨道的第一侧的第三图像，以及对应于第二轨道轨道的第二侧的第四图像。

9. 发明授权

US08794524B2 Smart scanning system 有权
标题翻译：智能扫描系统
公开(公告)号：US08794524B2
公开(公告)日：2014-08-05
申请号：US11756391
申请日：2007-05-31
申请人： Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Thomas J. Hammershoy , Arun Hampapur , Sharathchandra U. Pankanti
发明人： Jonathan H. Connell, II , Myron D. Flickner , Norman Haas , Thomas J. Hammershoy , Arun Hampapur , Sharathchandra U. Pankanti
IPC分类号： G06K7/10
CPC分类号： G07G1/0063 , G06K5/00 , G06K7/0004 , G06K7/10554 , G06K7/10821 , G06K9/20 , G06K9/6293
摘要： The present invention provides a smart scanning system comprising an integrated scanning and image capture system in which one or more image capture device(s) (e.g., still camera, video camera, etc.) and a barcode scanner are positioned within a common enclosure that is a component of a checkout station. The barcode of item is scanned and an image of the item is recorded. The identity of the item as determined based on the barcode is compared to its appearance as determined based on its image. If the identity is inconsistent with its appearance, a discrepancy is registered. It is then determined whether the discrepancy is due to fraud (e.g., theft) or device error. In the case of the latter, the system can be updated to prevent a repeat of the error.
摘要翻译：本发明提供了一种智能扫描系统，其包括集成的扫描和图像捕获系统，其中一个或多个图像捕获装置（例如，静态照相机，摄像机等）和条形码扫描器位于共同的外壳内，是结账台的组成部分。扫描物品的条形码并记录物品的图像。将基于条形码确定的物品的身份与根据其图像确定的外观进行比较。如果身份与其外观不一致，则会注册差异。然后确定差异是否由于欺诈（例如盗窃）或设备错误而引起。在后者的情况下，可以更新系统以防止重复错误。

10. 发明申请

US20140072169A1 LOCATION DETERMINATION FOR AN OBJECT USING VISUAL DATA 有权
标题翻译：使用视觉数据的对象的位置确定
公开(公告)号：US20140072169A1
公开(公告)日：2014-03-13
申请号：US13612345
申请日：2012-09-12
申请人： Norman HAAS , Ying LI , Charles A. OTTO , Sharathchandra PANKANTI
发明人： Norman HAAS , Ying LI , Charles A. OTTO , Sharathchandra PANKANTI
IPC分类号： G06K9/62
CPC分类号： G06T7/0044 , G06T7/74 , G06T2207/10016 , G06T2207/30108 , G06T2207/30252
摘要： A global position of an observed object is determined by obtaining a first global position of an observed object with at least one positioning device. A determination is made as to whether a set of stored visual characteristic information of at least one landmark matches a visual characteristic information set obtained from at least one captured image comprising a scene associated with the observed object. In response to the set of stored visual characteristic information matching the obtained visual characteristic information set, a second global position of the observed object is determined based on a set of stored location information associated with the at least one landmark and the first global position.
摘要翻译：通过利用至少一个定位装置获得观察对象的第一全局位置来确定观察对象的全局位置。确定至少一个地标的一组存储的视觉特征信息是否与从包括与观察对象相关联的场景的至少一个拍摄图像获得的视觉特征信息集匹配。响应于与所获得的视觉特征信息集匹配的所存储的视觉特征信息的集合，基于与至少一个地标和第一全局位置相关联的一组存储的位置信息来确定观察对象的第二全局位置。

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