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1. 发明授权

US06411328B1 Method and apparatus for traffic incident detection 失效
标题翻译：交通事故检测方法和装置
公开(公告)号：US06411328B1
公开(公告)日：2002-06-25
申请号：US08968916
申请日：1997-11-06
申请人： Ernest A. Franke , Ernest S. Kinkler , Michael J. Magee , Steven B. Seida
发明人： Ernest A. Franke , Ernest S. Kinkler , Michael J. Magee , Steven B. Seida
IPC分类号： H04N718
CPC分类号： H04N7/18 , G08G1/04 , H04N5/33
摘要： Apparatus and methods effective for detecting, locating and characterizing traffic-related incidents are based upon improved image processing techniques applied to infrared and visible light spectrum roadway images in a time sequence. Substantially real-time isolation and identification of anomalous or unexpected traffic conditions allows control of traffic signals and dispatch of law enforcement, maintenance or emergency medical care resources to reduce cost and increase safety. Detectable traffic-related incidents include, for example, the appearance of a stationary object on a roadway, the appearance of a pedestrian on a roadway, and the identification and location of vehicles obstructing traffic flow by moving too slowly or erratically or in the wrong direction. Programmable digital computer image processing allows automatic classification of the severity of detected incidents based on the potential for further traffic hazards and injuries, and can support automatic signals to alter traffic flow patterns for reducing the likelihood of incidents, as well as automatic alerts to law enforcement, maintenance and emergency medical personnel.
摘要翻译：用于检测，定位和表征交通事故的设备和方法基于以时间顺序应用于红外和可见光谱道路图像的改进的图像处理技术。大量实时隔离和识别异常或意外的交通状况，可以控制交通信号，派出执法，维护或紧急医疗资源，以降低成本，增加安全性。可检测的与交通有关的事件包括例如在道路上的静止物体的出现，道路上的行人的外观，以及通过移动太慢或不正常或错误的方向阻碍交通流量的车辆的识别和位置。可编程数字计算机图像处理可以根据进一步的交通伤害和伤害的可能性自动分类检测到的事件的严重性，并且可以支持自动信号来改变交通流模式，以减少事故的可能性，以及对执法的自动警报，维修和紧急医务人员。

2. 发明授权

US08156069B2 System and method for explaining a recommendation produced by a decision support tool 有权
标题翻译：用于解释由决策支持工具产生的建议的系统和方法
公开(公告)号：US08156069B2
公开(公告)日：2012-04-10
申请号：US12364697
申请日：2009-02-03
申请人： David L. Allen , Steven B. Seida , Krzysztof W. Przytula
发明人： David L. Allen , Steven B. Seida , Krzysztof W. Przytula
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G06N5/045
摘要： In accordance with a particular embodiment of the invention, a method for explaining a recommendation produced by a decision support tool is disclosed. The method comprises submitting a list of observation inputs to the decision support tool and producing a recommendation. The list of inputs is then reordered according to an observation metric. The method further comprises quantifying how each input impacts the probability of the recommendation produced. The inputs may then be ranked by comparing the associated changes in probability of the recommendation produced.
摘要翻译：根据本发明的具体实施例，公开了一种用于解释由决策支持工具产生的推荐的方法。该方法包括向决策支持工具提交观察投入清单并提出建议。然后根据观测指标重新排列输入列表。该方法还包括量化每个输入如何影响产生的推荐概率。然后可以通过比较所产生的推荐概率的相关变化来对输入进行排名。

3. 发明授权

US5726907A Biaxial non-contacting strain measurement using machine vision 失效
标题翻译：使用机器视觉的双轴非接触应变测量
公开(公告)号：US5726907A
公开(公告)日：1998-03-10
申请号：US509659
申请日：1995-07-31
申请人： David L. Davidson , Steven B. Seida
发明人： David L. Davidson , Steven B. Seida
IPC分类号： G01B11/16
CPC分类号： G01B11/16
摘要： A method for measuring strain in a sample of material. A reference image is obtained of a surface of the sample. A test machine is used to apply a load to the sample, as determined by a control signal from a system processor. A measurement image is then obtained, and test points on the reference image are located on the measurement image, using an image processor programmed to perform machine vision. The displacements between the location of the test points on the two images are determined. These displacements are used to calculate strain. Each new strain value may be used by the system processor to determine a next load value, so that the load is adjusted in terms of strain parameters.
摘要翻译：一种用于测量材料样品中的应变的方法。获得样品表面的参考图像。测试机器用于通过来自系统处理器的控制信号确定对样品施加负载。然后获得测量图像，并且使用被编程为执行机器视觉的图像处理器将参考图像上的测试点位于测量图像上。确定两个图像上的测试点的位置之间的位移。这些位移用于计算应变。系统处理器可以使用每个新的应变值来确定下一个负载值，从而根据应变参数调整负载。

4. 发明授权

US08811720B2 3D visualization of light detection and ranging data 有权
标题翻译：光检测和测距数据的三维可视化
公开(公告)号：US08811720B2
公开(公告)日：2014-08-19
申请号：US13180576
申请日：2011-07-12
申请人： Steven B. Seida
发明人： Steven B. Seida
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06T15/20 , G06T17/05 , G06T19/003 , G06T2200/08
摘要： In accordance with particular embodiments, a method includes receiving LIDAR data associated with a geographic area and generating a three-dimensional image of the geographic area based on the LIDAR data. The method further includes presenting at least a first portion of the three-dimensional image to a user based on a camera at a first location. The first portion of the three-dimensional image is presented from a walking perspective. The method also includes navigating the three-dimensional image based on a first input received from the user. The first input is used to direct the camera to move along a path in the walking perspective based on the first input and the three-dimensional image. The method further includes presenting at least a second portion of the three-dimensional image to the user based on navigating the camera to a second location. The second portion of the three dimensional image presented from the walking perspective.
摘要翻译：根据特定实施例，一种方法包括接收与地理区域相关联的LIDAR数据，并且基于激光雷达数据生成地理区域的三维图像。该方法还包括基于第一位置处的相机向用户呈现三维图像的至少第一部分。三维图像的第一部分从步行角度呈现。该方法还包括基于从用户接收的第一输入导航三维图像。第一输入用于引导相机基于第一输入和三维图像沿着步行透视图中的路径移动。该方法还包括基于将相机导航到第二位置向用户呈现三维图像的至少第二部分。从步行角度呈现的三维图像的第二部分。

5. 发明申请

US20120323826A1 System and Method for Predicting Political Instability using Bayesian Networks 审中-公开
标题翻译：使用贝叶斯网络预测政治不稳定的系统和方法
公开(公告)号：US20120323826A1
公开(公告)日：2012-12-20
申请号：US13159759
申请日：2011-06-14
申请人： Krzysztof W. Przytula , Rashmi N. Sundareswara , Steven B. Seida
发明人： Krzysztof W. Przytula , Rashmi N. Sundareswara , Steven B. Seida
IPC分类号： G06F15/18 , G06N5/04
CPC分类号： G06N7/005
摘要： Disclosed is a system and method for predicting political instability. This instability is predicted for specific countries or geographic regions. In one embodiment, the prediction is carried out on a basis of a probabilistic model, such as a Bayesian-network. The model is comprised of various notes corresponding to dependent and independent variables. The independent variables, in turn, correspond to factors relating to historical political instability. The dependent variable corresponds to the prediction of instability. By populating the independent variables with current data, future political instability can be predicted.
摘要翻译：披露了一种预测政治不稳定的制度和方法。这种不稳定性是针对特定国家或地理区域预测的。在一个实施例中，基于诸如贝叶斯网络的概率模型来执行预测。该模型由对应于依赖和独立变量的各种笔记组成。反过来，这些独立变量也与历史政治不稳定有关。因变量对应于不稳定性的预测。通过使用当前数据填充自变量，可以预测未来的政治不稳定性。

6. 发明申请

US20090222398A1 System and Method for Explaining a Recommendation Produced by a Decision Support Tool 有权
标题翻译：用于解释由决策支持工具生成的建议的系统和方法
公开(公告)号：US20090222398A1
公开(公告)日：2009-09-03
申请号：US12364697
申请日：2009-02-03
申请人： David L. Allen , Steven B. Seida , Krzysztof W. Przytula
发明人： David L. Allen , Steven B. Seida , Krzysztof W. Przytula
IPC分类号： G06N5/00
CPC分类号： G06N5/045
摘要： In accordance with a particular embodiment of the invention, a method for explaining a recommendation produced by a decision support tool is disclosed. The method comprises submitting a list of observation inputs to the decision support tool and producing a recommendation. The list of inputs is then reordered according to an observation metric. The method further comprises quantifying how each input impacts the probability of the recommendation produced. The inputs may then be ranked by comparing the associated changes in probability of the recommendation produced.
摘要翻译：根据本发明的具体实施例，公开了一种用于解释由决策支持工具产生的推荐的方法。该方法包括向决策支持工具提交观察投入清单并提出建议。然后根据观测指标重新排列输入列表。该方法还包括量化每个输入如何影响产生的推荐概率。然后可以通过比较所产生的推荐概率的相关变化来对输入进行排名。

7. 发明授权

US08805075B2 Method and apparatus for identifying a vibrometry spectrum in imaging applications 有权
标题翻译：用于在成像应用中识别振动波谱谱的方法和装置
公开(公告)号：US08805075B2
公开(公告)日：2014-08-12
申请号：US13610545
申请日：2012-09-11
申请人： Vernon R. Goodman , Rebekah R. Montgomery , Steven B. Seida
发明人： Vernon R. Goodman , Rebekah R. Montgomery , Steven B. Seida
IPC分类号： G06K9/34
CPC分类号： G06K9/0063 , G01S7/4802 , G01S17/50 , G01S17/89
摘要： A method includes obtaining image data associated with a specified area having one or more objects. The method also includes segmenting the image data into one or more segments associated with the one or more objects. The method further includes analyzing each of the one or more segments to identify a vibrometry spectrum associated with the corresponding object. In addition, the method includes generating an image of the specified area using the vibrometry spectrum associated with each object. The image of the specified area could illustrate each of the one or more objects with an intensity based on a total power of that target's total vibrational energy. The image of the specified area could also illustrate movement of at least one object over time.
摘要翻译：一种方法包括获得与具有一个或多个对象的指定区域相关联的图像数据。该方法还包括将图像数据分割成与一个或多个对象相关联的一个或多个段。该方法还包括分析一个或多个段中的每一个以识别与对应对象相关联的振动波谱。此外，该方法包括使用与每个对象相关联的振动波谱来生成指定区域的图像。指定区域的图像可以以基于该目标的总振动能量的总功率的强度来说明一个或多个对象中的每一个。指定区域的图像还可以示出至少一个对象随时间的移动。

8. 发明申请

US20140072220A1 METHOD AND APPARATUS FOR IDENTIFYING A VIBROMETRY SPECTRUM IN IMAGING APPLICATIONS 有权
标题翻译：用于识别成像应用中的VIBROMETRY光谱的方法和装置
公开(公告)号：US20140072220A1
公开(公告)日：2014-03-13
申请号：US13610545
申请日：2012-09-11
申请人： Vernon R. Goodman , Rebekah R. Montgomery , Steven B. Seida
发明人： Vernon R. Goodman , Rebekah R. Montgomery , Steven B. Seida
IPC分类号： G06K9/34
CPC分类号： G06K9/0063 , G01S7/4802 , G01S17/50 , G01S17/89
摘要： A method includes obtaining image data associated with a specified area having one or more objects. The method also includes segmenting the image data into one or more segments associated with the one or more objects. The method further includes analyzing each of the one or more segments to identify a vibrometry spectrum associated with the corresponding object. In addition, the method includes generating an image of the specified area using the vibrometry spectrum associated with each object. The image of the specified area could illustrate each of the one or more objects with an intensity based on a total power of that target's total vibrational energy. The image of the specified area could also illustrate movement of at least one object over time.
摘要翻译：一种方法包括获得与具有一个或多个对象的指定区域相关联的图像数据。该方法还包括将图像数据分割成与一个或多个对象相关联的一个或多个段。该方法还包括分析一个或多个段中的每一个以识别与对应对象相关联的振动波谱。此外，该方法包括使用与每个对象相关联的振动波谱来生成指定区域的图像。指定区域的图像可以以基于该目标的总振动能量的总功率的强度来说明一个或多个对象中的每一个。指定区域的图像还可以示出至少一个对象随时间的移动。

9. 发明申请

US20130016896A1 3D Visualization of Light Detection and Ranging Data 有权
标题翻译：光检测和测距数据的3D可视化
公开(公告)号：US20130016896A1
公开(公告)日：2013-01-17
申请号：US13180576
申请日：2011-07-12
申请人： Steven B. Seida
发明人： Steven B. Seida
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06T15/20 , G06T17/05 , G06T19/003 , G06T2200/08
摘要： In accordance with particular embodiments, a method includes receiving LIDAR data associated with a geographic area and generating a three-dimensional image of the geographic area based on the LIDAR data. The method further includes presenting at least a first portion of the three-dimensional image to a user based on a camera at a first location. The first portion of the three-dimensional image is presented from a walking perspective. The method also includes navigating the three-dimensional image based on a first input received from the user. The first input is used to direct the camera to move along a path in the walking perspective based on the first input and the three-dimensional image. The method further includes presenting at least a second portion of the three-dimensional image to the user based on navigating the camera to a second location. The second portion of the three dimensional image presented from the walking perspective.
摘要翻译：根据特定实施例，一种方法包括接收与地理区域相关联的LIDAR数据，并且基于激光雷达数据生成地理区域的三维图像。该方法还包括基于第一位置处的相机向用户呈现三维图像的至少第一部分。三维图像的第一部分从步行角度呈现。该方法还包括基于从用户接收的第一输入导航三维图像。第一输入用于引导相机基于第一输入和三维图像沿着步行透视图中的路径移动。该方法还包括基于将相机导航到第二位置向用户呈现三维图像的至少第二部分。从步行角度呈现的三维图像的第二部分。

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