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1. 发明授权

US08724904B2 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：US08724904B2
公开(公告)日：2014-05-13
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： G06K9/46
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。

2. 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。

3. 发明授权

US08625878B2 Method and system of rail component detection using vision technology 有权
标题翻译：使用视觉技术的轨道部件检测方法和系统
公开(公告)号：US08625878B2
公开(公告)日：2014-01-07
申请号：US13087490
申请日：2011-04-15
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： G06K9/00
CPC分类号： G06K9/00 , B61L23/047 , B61L23/048
摘要： A method, system, and computer program product for automatically inspecting railroad tracks. The method includes assessing a configuration of rail components depicted in an image by comparing the configuration of the rail components to known hazards. The method also includes determining a severity of detected problems in the configuration of the rail components, using a computer processor.
摘要翻译：一种用于自动检查铁轨的方法，系统和计算机程序产品。该方法包括通过将轨道部件的配置与已知危险进行比较来评估图像中描绘的轨道部件的配置。该方法还包括使用计算机处理器来确定轨道部件的配置中检测到的问题的严重性。

4. 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。

5. 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。

6. 发明申请

US20120263342A1 METHOD AND SYSTEM OF RAIL COMPONENT DETECTION USING VISION TECHNOLOGY 有权
标题翻译：使用视觉技术的铁路组件检测方法与系统
公开(公告)号：US20120263342A1
公开(公告)日：2012-10-18
申请号：US13087490
申请日：2011-04-15
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： G06K9/00
CPC分类号： G06K9/00 , B61L23/047 , B61L23/048
摘要： A method, system, and computer program product for automatically inspecting railroad tracks. The method includes assessing a configuration of rail components depicted in an image by comparing the configuration of the rail components to known hazards. The method also includes determining a severity of detected problems in the configuration of the rail components, using a computer processor.
摘要翻译：一种用于自动检查铁轨的方法，系统和计算机程序产品。该方法包括通过将轨道部件的配置与已知危险进行比较来评估图像中描绘的轨道部件的配置。该方法还包括使用计算机处理器来确定轨道部件的配置中检测到的问题的严重性。

7. 发明授权

US08509526B2 Detection of objects in digital images 失效
标题翻译：检测数字图像中的物体
公开(公告)号：US08509526B2
公开(公告)日：2013-08-13
申请号：US13086023
申请日：2011-04-13
申请人： Norman Haas , Ying Li , Sharathchandra Pankanti
发明人： Norman Haas , Ying Li , Sharathchandra Pankanti
IPC分类号： G06K9/00
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 given color channel of the image is extracted. At least one blob that stands out from a background of the given color channel is identified. One or more features are extracted from the blob. The one or more features are provided to a plurality of pre-learned object models each including a set of pre-defined features associated with a pre-defined blob type. The one or more features are compared to the set of pre-defined features. The blob is determined to be of a type that substantially matches a pre-defined blob type associated with one of the pre-learned object models. At least a location of an object is visually indicated within the image that corresponds to the blob.
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。提取图像的给定颜色通道。识别从给定颜色通道的背景中突出出的至少一个斑点。从斑点中提取一个或多个特征。将一个或多个特征提供给多个预先学习的对象模型，每个预先学习的对象模型包括与预定义的斑点类型相关联的一组预定义特征。将一个或多个特征与一组预定义特征进行比较。 blob被确定为与预先识别的对象模型之一相关联的预定义blob类型的类型。至少一个对象的位置在对应于斑点的图像内被目视指示。

8. 发明授权

US08509478B2 Detection of objects in digital images 失效
标题翻译：检测数字图像中的物体
公开(公告)号：US08509478B2
公开(公告)日：2013-08-13
申请号：US13614760
申请日：2012-09-13
申请人： Norman Haas , Ying Li , Sharathchandra Pankanti
发明人： Norman Haas , Ying Li , Sharathchandra Pankanti
IPC分类号： G06K9/00
CPC分类号： G06K9/00818 , G06K9/6257
摘要： A method to detect objects in a digital image. At least one image representing at least one frame of a video sequence is received. A given color channel of the image is extracted. At least one blob that stands out from a background of the given color channel is identified. One or more features are extracted from the blob. The one or more features are provided to a plurality of pre-learned object models each including a set of pre-defined features associated with a pre-defined blob type. The one or more features are compared to the set of pre-defined features. The blob is determined to be of a type that substantially matches a pre-defined blob type associated with one of the pre-learned object models. At least a location of an object is visually indicated within the image that corresponds to the blob.
摘要翻译：一种检测数字图像中的对象的方法。接收表示视频序列的至少一帧的至少一个图像。提取图像的给定颜色通道。识别从给定颜色通道的背景中突出出的至少一个斑点。从斑点中提取一个或多个特征。将一个或多个特征提供给多个预先学习的对象模型，每个预先学习的对象模型包括与预定义的斑点类型相关联的一组预定义特征。将一个或多个特征与一组预定义特征进行比较。 blob被确定为与预先识别的对象模型之一相关联的预定义blob类型的类型。至少一个对象的位置在对应于斑点的图像内被目视指示。

9. 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。

10. 发明授权

US08265342B2 Real-time annotation of images in a human assistive environment 失效
标题翻译：在人类辅助环境中实时注释图像
公开(公告)号：US08265342B2
公开(公告)日：2012-09-11
申请号：US12428586
申请日：2009-04-23
申请人： Jonathan Connell , Norman Haas , Arun Hampapur , Ying Li , Robert S. Olyha, Jr. , Sharathchandra Pankanti
发明人： Jonathan Connell , Norman Haas , Arun Hampapur , Ying Li , Robert S. Olyha, Jr. , Sharathchandra Pankanti
IPC分类号： G06K9/00 , G08G1/01
CPC分类号： G09B9/052 , G06K9/00664 , G06K9/00771 , G06K9/6256
摘要： A method, information processing system, and computer program storage product annotate video images associated with an environmental situation based on detected actions of a human interacting with the environmental situation. A set of real-time video images are received that are captured by at least one video camera associated with an environment presenting one or more environmental situations to a human. One or more user actions made by the human that is associated with the set of real-time video images with respect to the environmental situation are monitored. A determination is made, based on the monitoring, that the human driver has one of performed and failed to perform at least one action associated with one or more images of the set of real-time video images. The one or more images of the set of real-time video images are annotated with a set of annotations.
摘要翻译：一种方法，信息处理系统和计算机程序存储产品基于与环境情况相互作用的人的检测到的动作来注释与环境状况相关联的视频图像。一组实时视频图像被至少一个与呈现一个或多个环境情况的环境相关联的摄像机捕捉到的人被摄取。监视与人体相对于环境情况的一组实时视频图像相关联的一个或多个用户动作。基于监视，确定人类驾驶员具有执行的一个并且未能执行与该组实时视频图像的一个或多个图像相关联的至少一个动作。一组实时视频图像的一个或多个图像用一组注释注释。

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