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1. 发明授权

US09086484B2 Context-based target recognition 有权
标题翻译：基于上下文的目标识别
公开(公告)号：US09086484B2
公开(公告)日：2015-07-21
申请号：US13173891
申请日：2011-06-30
申请人： Swarup S. Medasani , Dmitriy Korchev , Jose M. Molineros , Yuri Owechko
发明人： Swarup S. Medasani , Dmitriy Korchev , Jose M. Molineros , Yuri Owechko
IPC分类号： G06K9/00 , G01S13/90 , G01S7/41 , G06K9/46 , G06K9/48 , G06K9/72
CPC分类号： G01S13/9035 , G01S7/412 , G06K9/4604 , G06K9/48 , G06K9/72
摘要： A method and apparatus for identifying a target object. A group of objects is identified in an image. The group of objects provides a context for identifying the target object in the image. The target object is searched for in the image using the context provided by the group of objects.
摘要翻译：一种用于识别目标对象的方法和装置。在图像中识别一组对象。对象组提供用于识别图像中的目标对象的上下文。使用对象组提供的上下文在图像中搜索目标对象。

2. 发明授权

US08532402B2 Image registration 有权
标题翻译：图像注册
公开(公告)号：US08532402B2
公开(公告)日：2013-09-10
申请号：US13166357
申请日：2011-06-22
申请人： Swarup S. Medasani , Yuri Owechko , Jose M. Molineros , Dmitriy Korchev
发明人： Swarup S. Medasani , Yuri Owechko , Jose M. Molineros , Dmitriy Korchev
IPC分类号： G06K9/62
CPC分类号： G06T7/33 , G06T2207/10044 , G06T2207/20016 , G06T2207/20072
摘要： A method and apparatus for processing images. Clusters of first features identified in a first image are identified. Each cluster in the clusters comprises a first group of features from the first features. A transformation for registering each cluster in the clusters with a corresponding cluster comprising a second group of features from second features identified in a second image is identified using an initial correspondence between the first features in the first image and the second features in the second image. A set of clusters from the clusters of the first features is identified using the transformation identified for each cluster. A final transformation for registering the first image with the second image is identified using the set of clusters.
摘要翻译：一种用于处理图像的方法和装置。识别第一个图像中识别的第一个特征的簇。群集中的每个群集包括来自第一特征的第一组特征。使用第一图像中的第一特征和第二图像中的第二特征之间的初始对应关系来识别用于使用包括来自第二图像中标识的第二特征的第二组特征的对应的簇登记到群集中的变换。使用为每个集群标识的变换来识别来自第一特征的集群的一组集群。使用集合集来识别用于用第二图像注册第一图像的最终变换。

3. 发明申请

US20130004017A1 Context-Based Target Recognition 有权
标题翻译：基于上下文的目标识别
公开(公告)号：US20130004017A1
公开(公告)日：2013-01-03
申请号：US13173891
申请日：2011-06-30
申请人： Swarup S. Medasani , Dmitriy Korchev , Jose M. Molineros , Yuri Owechko
发明人： Swarup S. Medasani , Dmitriy Korchev , Jose M. Molineros , Yuri Owechko
IPC分类号： G06K9/00
CPC分类号： G01S13/9035 , G01S7/412 , G06K9/4604 , G06K9/48 , G06K9/72
摘要： A method and apparatus for identifying a target object. A group of objects is identified in an image. The group of objects provides a context for identifying the target object in the image. The target object is searched for in the image using the context provided by the group of objects.
摘要翻译：一种用于识别目标对象的方法和装置。在图像中识别一组对象。对象组提供用于识别图像中的目标对象的上下文。使用由对象组提供的上下文在图像中搜索目标对象。

4. 发明申请

US20120328203A1 Image Registration 有权
标题翻译：图像注册
公开(公告)号：US20120328203A1
公开(公告)日：2012-12-27
申请号：US13166357
申请日：2011-06-22
申请人： Swarup S. Medasani , Yuri Owechko , Jose M. Molineros , Dmitriy Korchev
发明人： Swarup S. Medasani , Yuri Owechko , Jose M. Molineros , Dmitriy Korchev
IPC分类号： G06K9/62
CPC分类号： G06T7/33 , G06T2207/10044 , G06T2207/20016 , G06T2207/20072
摘要： A method and apparatus for processing images. Clusters of first features identified in a first image are identified. Each cluster in the clusters comprises a first group of features from the first features. A transformation for registering each cluster in the clusters with a corresponding cluster comprising a second group of features from second features identified in a second image is identified using an initial correspondence between the first features in the first image and the second features in the second image. A set of clusters from the clusters of the first features is identified using the transformation identified for each cluster. A final transformation for registering the first image with the second image is identified using the set of clusters.
摘要翻译：一种用于处理图像的方法和装置。识别第一个图像中识别的第一个特征的簇。群集中的每个群集包括来自第一特征的第一组特征。使用第一图像中的第一特征和第二图像中的第二特征之间的初始对应关系来识别用于使用包括来自第二图像中标识的第二特征的第二组特征的对应的簇登记到群集中的变换。使用为每个集群标识的变换来识别来自第一特征的集群的一组集群。使用集合集来识别用于用第二图像注册第一图像的最终变换。

5. 发明授权

US08615105B1 Object tracking system 有权
标题翻译：对象跟踪系统
公开(公告)号：US08615105B1
公开(公告)日：2013-12-24
申请号：US12872183
申请日：2010-08-31
申请人： Shinko Yuanhsien Cheng , Jose M. Molineros , Yuri Owechko , Swarup S. Medasani
发明人： Shinko Yuanhsien Cheng , Jose M. Molineros , Yuri Owechko , Swarup S. Medasani
IPC分类号： G06K9/00
CPC分类号： G06K9/00771
摘要： A method, apparatus, and computer program product for tracking objects. A number of objects is detected in an image to form a number of detected objects. A number of previously identified objects is searched for in the image using a number of signatures for the number of previously identified objects. A number of tracks for the objects is updated using the number of detected objects and a number of reidentified objects. The number of reidentified objects is from searching for the number of previously identified objects.
摘要翻译：用于跟踪对象的方法，设备和计算机程序产品。在图像中检测到多个对象以形成多个检测到的对象。使用针对先前识别的对象的数量的许多签名在图像中搜索多个先前识别的对象。使用检测到的对象的数量和多个重新识别的对象来更新对象的多个轨道。重新识别的对象的数量是从搜索先前识别的对象的数量。

6. 发明授权

US08965044B1 Rotorcraft threat detection system 有权
标题翻译：罗托威尔威胁检测系统
公开(公告)号：US08965044B1
公开(公告)日：2015-02-24
申请号：US13160959
申请日：2011-06-15
申请人： Yuri Owechko , Swarup S. Medasani , Kyungnam Kim
发明人： Yuri Owechko , Swarup S. Medasani , Kyungnam Kim
IPC分类号： G06K9/00
CPC分类号： G06K9/00369 , G06K9/6229 , G06K9/6807
摘要： A method, system, and computer program product for detecting objects. Members of a general class of objects are searched for in a number of images. Members of a specific class of objects are searched for in a number of regions in the number of images where the number of regions contains at least a portion of the members of the general class. A member in the members of the specific class is a potential threat to a rotorcraft.
摘要翻译：用于检测物体的方法，系统和计算机程序产品。在多个图像中搜索一般对象类的成员。在多个区域中搜索特定类别的对象的成员，其中区域数目包含一般类别的成员的至少一部分。特定阶层成员的成员对旋翼航空器构成潜在的威胁。

7. 发明授权

US06801662B1 Sensor fusion architecture for vision-based occupant detection 失效
标题翻译：用于基于视觉的乘员检测的传感器融合架构
公开(公告)号：US06801662B1
公开(公告)日：2004-10-05
申请号：US09685235
申请日：2000-10-10
申请人： Yuri Owechko , Narayan Srinivasa , Swarup S. Medasani , Riccardo Boscolo
发明人： Yuri Owechko , Narayan Srinivasa , Swarup S. Medasani , Riccardo Boscolo
IPC分类号： G06K962
CPC分类号： B60R21/01538 , B60R21/01542 , G06K9/00201 , G06K9/00362 , G06K9/6293
摘要： A vision-based system for automatically detecting the type of object within a specified area, such as the type of occupant within a vehicle. Determination of the type of occupant can then be used to determine whether an airbag deployment system should be enabled or not. The system extracts different features from images captured by image sensors. These features are then processed by classification algorithms to produce occupant class confidences for various occupant types. The occupant class confidences are then fused and processed to determine the type of occupant. In a preferred embodiment, image features derived from image edges, motion, and range are used. Classification algorithms may be implemented by using trained C5 decision trees, trained Nonlinear Discriminant Analysis networks, Hausdorff template matching and trained Fuzzy Aggregate Networks. In an exemplary embodiment, class confidences are provided for a rear-facing infant seat, a front-facing infant seat, an adult out of position, and an adult in a normal or twisted position. Fusion of these class confidences derived from multiple image features increases the accuracy of the system and provides for correct determination of an airbag deployment decision.
摘要翻译：一种基于视觉的系统，用于自动检测指定区域内物体的类型，例如车辆内的乘客类型。然后可以确定乘客的类型，以确定是否应启用安全气囊展开系统。该系统从图像传感器捕获的图像中提取不同的特征。然后通过分类算法对这些特征进行处理，以便为各种乘员类型产生乘员级别信心。然后对乘员班级信心进行融合和处理，以确定乘客的类型。在优选实施例中，使用从图像边缘，运动和范围导出的图像特征。分类算法可以通过使用经过训练的C5决策树，经过训练的非线性判别分析网络，Hausdorff模板匹配和经过训练的模糊聚合网络来实现。在一个示例性实施例中，提供了用于面向后方的婴儿座椅，前置婴儿座椅，成人不在位置以及处于正常或扭转位置的成年人的类别信号。从多个图像特征导出的这些类别信息的融合增加了系统的准确性，并提供了安全气囊部署决定的正确确定。

8. 发明授权

US08891820B2 Multi-modal sensor fusion 有权
标题翻译：多模式传感器融合
公开(公告)号：US08891820B2
公开(公告)日：2014-11-18
申请号：US13249064
申请日：2011-09-29
申请人： Yuri Owechko , Shinko Y. Cheng , Swarup S. Medasani , Kyungnam Kim
发明人： Yuri Owechko , Shinko Y. Cheng , Swarup S. Medasani , Kyungnam Kim
IPC分类号： G06K9/00 , G06K9/32 , G06T7/00 , G06T7/20
CPC分类号： G06K9/00771 , G06T7/277 , G06T7/33 , G06T7/344 , G06T2207/10016 , G06T2207/10032 , G06T2207/10044 , G06T2207/10048 , G06T2207/20076
摘要： A method and apparatus for processing images. A sequence of images for a scene is received from an imaging system. An object in the scene is detected using the sequence of images. A viewpoint of the imaging system is registered to a model of the scene using a region in the model of the scene in which an expected behavior of the object is expected to occur.
摘要翻译：一种用于处理图像的方法和装置。从成像系统接收场景的一系列图像。使用图像序列检测场景中的对象。使用预期发生对象的期望行为的场景的模型中的区域将成像系统的视点注册到场景的模型。

9. 发明授权

US08620089B1 Strip histogram grid for efficient segmentation of 3D point clouds from urban environments 有权
标题翻译：带状直方图网格，用于城市环境中3D点云的有效分割
公开(公告)号：US08620089B1
公开(公告)日：2013-12-31
申请号：US12644349
申请日：2009-12-22
申请人： Thommen Korah , Swarup S. Medasani , Yuri Owechko
发明人： Thommen Korah , Swarup S. Medasani , Yuri Owechko
IPC分类号： G06K9/46
CPC分类号： G06K9/00201 , G01S17/89 , G06K9/00637 , G06T7/11 , G06T7/136 , G06T7/187 , G06T2207/10044 , G06T2207/20021
摘要： A method of recognizing features in a 3D environment includes using a sensor that collects a plurality of sensed data points, populating a strip histogram grid having a plurality of strips, each strip having a dx dimension and a dy dimension, by assigning each sensed data point to a strip in the strip histogram grid that has x, y and z dimensions that encompass the spatial coordinate information of the respective assigned sensed data point, and estimating the local ground plane for a strip in the strip histogram grid by using information on each sensed data point assigned to that strip and surrounding strips in the strip histogram grid. Further methods include extracting smooth surfaces, building segmentation, top down segmentation and bottom up segmentation.
摘要翻译：一种在3D环境中识别特征的方法包括使用收集多个感测数据点的传感器，通过分配每个感测数据点来填充具有多个条带的条带直方图网格，每个条带具有dx维度和dy维度到具有包含相应分配的感测数据点的空间坐标信息的x，y和z维度的条带直方图网格中的条带，以及通过使用关于每个感测数据点的信息来估计条带直方图网格中的条带的局部接地平面数据点分配给条带和条带直方图网格中的周围条带。其他方法包括提取平滑表面，构建分割，自顶向下分割和自下而上分割。

10. 发明授权

US08483478B1 Grammar-based, cueing method of object recognition, and a system for performing same 有权
标题翻译：基于语法的对象识别的提示方法，以及用于执行对象识别的系统
公开(公告)号：US08483478B1
公开(公告)日：2013-07-09
申请号：US12685495
申请日：2010-01-11
申请人： Swarup S. Medasani , Yuri Owechko , Thommen Korah , Jason Wu , Dejan Nikic
发明人： Swarup S. Medasani , Yuri Owechko , Thommen Korah , Jason Wu , Dejan Nikic
IPC分类号： G06K9/00
CPC分类号： G06K9/48
摘要： In an embodiment, a grammar-based, cueing method of object recognition is disclosed. The method may include or comprise accessing cells that define a portion of a three-dimensional (3-D) scene, assigning occupation parameters to the cells to define a plurality of occupied cells and at least one vacant cell, and assigning localization parameters to the occupied cells based on the occupation parameters of their respective neighboring cells. The method may further include or comprise characterizing a plurality of the occupied cells as geometric cues based on their respective occupation and localization parameters, and identifying a target geometric shape associated with the geometric cues.
摘要翻译：在一个实施例中，公开了一种基于语法的提示对象识别方法。该方法可以包括或包括访问定义三维（3-D）场景的一部分的小区，向小区分配占用参数以定义多个被占用的小区和至少一个空闲小区，以及将定位参数分配给基于其各自相邻小区的占用参数占用的小区。该方法还可以包括或包括基于它们各自的占用和定位参数将多个占用的小区表征为几何提示，以及识别与几何提示相关联的目标几何形状。

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