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1. 发明申请

US20100104185A1 METHODS AND SYSTEMS FOR THE DETECTION OF THE INSERTION, REMOVAL, AND CHANGE OF OBJECTS WITHIN A SCENE THROUGH THE USE OF IMAGERY 有权
标题翻译：通过使用图像检测场景中的物体的插入，移除和变化的方法和系统
公开(公告)号：US20100104185A1
公开(公告)日：2010-04-29
申请号：US11383914
申请日：2006-05-17
申请人： Ted L. Johnson , Michael G. Neff
发明人： Ted L. Johnson , Michael G. Neff
IPC分类号： G06K9/34
CPC分类号： G06T7/277
摘要： Methods and systems for detecting the insertion, removal, and change of objects of interest through the use of imagery are disclosed. In one embodiment, a method includes performing a scene registration including aligning image patterns in the first image to those in the second image; performing a feature content analysis to determine a likelihood of change for each pixel in the first and second images; performing a region identification to group pixels within the first and second images into one or more image regions based upon their likelihood of change; and performing an image region partitioning to prioritize the one or more image regions according to an image region score for each of the one or more image regions, the image region score being indicative of at least one of insertion, removal, and change of an object of interest within the common area of interest. Embodiments of the invention may advantageously provide an autonomous capability to detect the insertion, removal, and change of objects of interest.
摘要翻译：公开了通过使用图像检测感兴趣对象的插入，移除和变化的方法和系统。在一个实施例中，一种方法包括执行场景注册，包括将第一图像中的图像图像与第二图像中的图像对齐; 执行特征内容分析以确定所述第一和第二图像中的每个像素的变化的可能性; 执行区域识别，以基于其变化的可能性将第一和第二图像内的像素分组成一个或多个图像区域; 以及执行图像区域划分以根据所述一个或多个图像区域中的每一个的图像区域分数对所述一个或多个图像区域进行优先级排序，所述图像区域分数指示对象的插入，移除和改变中的至少一个在公共利益领域内感兴趣。本发明的实施例可以有利地提供检测感兴趣对象的插入，移除和改变的自主能力。

2. 发明授权

US07676064B2 Sensor scan planner 有权
标题翻译：传感器扫描计划器
公开(公告)号：US07676064B2
公开(公告)日：2010-03-09
申请号：US11383900
申请日：2006-05-17
申请人： Michael G. Neff , Shirley N. Cheng , Chang-Shaung R. Lee , Ted L. Johnson
发明人： Michael G. Neff , Shirley N. Cheng , Chang-Shaung R. Lee , Ted L. Johnson
IPC分类号： G06K9/00
CPC分类号： G01S7/41 , F41H13/00 , G05D1/107 , G06Q10/04
摘要： Sensor scan planner methods and systems are described. In an embodiment, a sensor scan schedule can be generated by a sensor scan schedule generator to optimize the scan schedules of multiple sensors based on optimal capabilities of each sensor and autonomous target recognition algorithm processing. A search manager can then assign an evaluation criteria value to the generated sensor scan schedule based on sensor scan schedule evaluation criteria, and compare the evaluation criteria value to other evaluation criteria values corresponding to respective previously generated sensor scan schedules to determine an optimal sensor scan schedule. The search manager can then determine whether to generate additional sensor scan schedules and assign additional evaluation criteria values for comparison to determine the optimal sensor scan schedule.
摘要翻译：描述传感器扫描计划器的方法和系统。在一个实施例中，可以由传感器扫描计划生成器生成传感器扫描调度表，以基于每个传感器的最佳能力和自主目标识别算法处理来优化多个传感器的扫描计划。然后，搜索管理器可以基于传感器扫描时间表评估标准将评估标准值分配给所生成的传感器扫描调度，并且将评估标准值与对应于先前产生的各个传感器扫描计划的其他评估标准值进行比较，以确定最佳传感器扫描计划。然后，搜索管理器可以确定是否生成附加的传感器扫描计划，并分配其他评估标准值进行比较以确定最佳传感器扫描计划。

3. 发明授权

US5982945A Image processing method and apparatus for correlating a test image with a template 失效
公开(公告)号：US5982945A
公开(公告)日：1999-11-09
申请号：US6130
申请日：1998-01-13
申请人： Michael G. Neff , Ted L. Johnson , Steven A. Wright , Victor E. Ratkowski, Jr.
发明人： Michael G. Neff , Ted L. Johnson , Steven A. Wright , Victor E. Ratkowski, Jr.
IPC分类号： G06K9/00 , G06K9/64 , G06T7/00 , G06K9/34 , G06K9/38 , G06K9/62
CPC分类号： G06T7/003 , F41G7/007 , F41G7/2226 , F41G7/2253 , F41G7/2293 , G06K9/00973 , G06K9/6202 , G06K9/6203
摘要： The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N.sub.T which form the template and for determining the number of pixels N.sub.i which form each of the labels i. The image correlation apparatus also includes comparison means for comparing the test image to the template. The comparison means determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparison means also determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j representative of a predetermined gray level j which correspond to the template. The image correlation apparatus further includes correlation means for determining the correlation X between the test image and the template according to a predetermined equation which is based, at least in part, upon N.sub.j,i, N.sub.j, N.sub.i and N.sub.T. The image correlation apparatus can also include an address generator for creating a number of relative offsets between the template and the test image. Thus, the test image can be compared to the template at each relative offset and the relative offset which provides the greatest correlation therebetween can be determined. Consequently, the test image and the template can be effectively matched such that a preselected object designated within the template can be located and identified within the test image.

4. 发明授权

US5890808A Image processing method and apparatus for correlating a test image with a template 失效
公开(公告)号：US5890808A
公开(公告)日：1999-04-06
申请号：US6407
申请日：1998-01-13
申请人： Michael G. Neff , Ted L. Johnson , Steven A. Wright , Victor E. Ratkowski, Jr.
发明人： Michael G. Neff , Ted L. Johnson , Steven A. Wright , Victor E. Ratkowski, Jr.
IPC分类号： G06K9/00 , G06K9/64 , G06T7/00 , G06K9/62 , G06K9/68 , G06K9/74
CPC分类号： G06T7/003 , F41G7/007 , F41G7/2226 , F41G7/2253 , F41G7/2293 , G06K9/00973 , G06K9/6202 , G06K9/6203
摘要： The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N.sub.T which form the template and for determining the number of pixels N.sub.i which form each of the labels i. The image correlation apparatus also includes comparison means for comparing the test image to the template. The comparison means determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparison means also determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j representative of a predetermined gray level j which correspond to the template. The image correlation apparatus further includes correlation means for determining the correlation X between the test image and the template according to a predetermined equation which is based, at least in part, upon N.sub.j,i, N.sub.j, N.sub.i and N.sub.T. The image correlation apparatus can also include an address generator for creating a number of relative offsets between the template and the test image. Thus, the test image can be compared to the template at each relative offset and the relative offset which provides the greatest correlation therebetween can be determined. Consequently, the test image and the template can be effectively matched such that a preselected object designated within the template can be located and identified within the test image.

5. 发明授权

US07702183B1 Methods and systems for the detection of the insertion, removal, and change of objects within a scene through the use of imagery 有权
标题翻译：通过使用图像检测场景内物体的插入，移除和变化的方法和系统
公开(公告)号：US07702183B1
公开(公告)日：2010-04-20
申请号：US11383914
申请日：2006-05-17
申请人： Ted L. Johnson , Michael G. Neff
发明人： Ted L. Johnson , Michael G. Neff
IPC分类号： G06K9/32 , G06K9/68 , G06K9/00
CPC分类号： G06T7/277
摘要： Methods and systems for detecting the insertion, removal, and change of objects of interest through the use of imagery are disclosed. In one embodiment, a method includes performing a scene registration including aligning image patterns in the first image to those in the second image; performing a feature content analysis to determine a likelihood of change for each pixel in the first and second images; performing a region identification to group pixels within the first and second images into one or more image regions based upon their likelihood of change; and performing an image region partitioning to prioritize the one or more image regions according to an image region score for each of the one or more image regions, the image region score being indicative of at least one of insertion, removal, and change of an object of interest within the common area of interest. Embodiments of the invention may advantageously provide an autonomous capability to detect the insertion, removal, and change of objects of interest.
摘要翻译：公开了通过使用图像检测感兴趣对象的插入，移除和变化的方法和系统。在一个实施例中，一种方法包括执行场景注册，包括将第一图像中的图像图像与第二图像中的图像对齐; 执行特征内容分析以确定所述第一和第二图像中的每个像素的变化的可能性; 执行区域识别，以基于其变化的可能性将第一和第二图像内的像素分组成一个或多个图像区域; 以及执行图像区域划分以根据所述一个或多个图像区域中的每一个的图像区域分数对所述一个或多个图像区域进行优先级排序，所述图像区域分数指示对象的插入，移除和改变中的至少一个在公共利益领域内感兴趣。本发明的实施例可以有利地提供检测感兴趣对象的插入，移除和改变的自主能力。

6. 发明申请

US20070271032A1 Methods and Systems for Data Link Front End Filters for Sporadic Updates 有权
标题翻译：数据链路前端过滤器用于零星更新的方法和系统
公开(公告)号：US20070271032A1
公开(公告)日：2007-11-22
申请号：US11383919
申请日：2006-05-17
申请人： Shirley N. Cheng , Michael G. Neff , Ted L. Johnson
发明人： Shirley N. Cheng , Michael G. Neff , Ted L. Johnson
IPC分类号： G01C21/00
CPC分类号： G01S5/0294 , G01S13/66 , G01S17/66
摘要： Systems and methods having front end filters for data links for improved tracking of moving objects are disclosed. In one embodiment, a method includes sensing at least one characteristic of a moveable object using a sensor of an acquisition system, and sensing at least one characteristic of the moveable object using an auxiliary sensor. A data link update is transmitted from the auxiliary sensor to the acquisition system, and the data link update is conditioned to provide composite likelihood. The conditioning includes differencing the data link update and at least one predicted characteristic of the moveable object to produce at least one residual (e.g. using a plurality of Kalman filters). A viewing direction of the sensor may be adjusted based at least in part on the composite likelihood. In another embodiment, residuals are projected along sensor line of sight to form a multi-modal non-Gaussian composite likelihood.
摘要翻译：公开了具有用于改进跟踪移动物体的数据链路的前端滤波器的系统和方法。在一个实施例中，一种方法包括使用采集系统的传感器感测可移动物体的至少一个特性，并使用辅助传感器感测可移动物体的至少一个特性。数据链路更新从辅助传感器发送到采集系统，并且数据链路更新被调整以提供复合似然性。调节包括差分数据链路更新和可移动对象的至少一个预测特征，以产生至少一个残差（例如使用多个卡尔曼滤波器）。可以至少部分地基于复合似然性来调整传感器的观察方向。在另一个实施例中，残差沿着传感器视线投射以形成多模态非高斯复合似然。

7. 发明申请

US20070269077A1 SENSOR SCAN PLANNER 有权
标题翻译：传感器扫描计划器
公开(公告)号：US20070269077A1
公开(公告)日：2007-11-22
申请号：US11383900
申请日：2006-05-17
申请人： Michael G. Neff , Shirley N. Cheng , Chang-Shaung R. Lee , Ted L. Johnson
发明人： Michael G. Neff , Shirley N. Cheng , Chang-Shaung R. Lee , Ted L. Johnson
IPC分类号： G06K9/00
CPC分类号： G01S7/41 , F41H13/00 , G05D1/107 , G06Q10/04
摘要： Sensor scan planner methods and systems are described. In an embodiment, a sensor scan schedule can be generated by a sensor scan schedule generator to optimize the scan schedules of multiple sensors based on optimal capabilities of each sensor and autonomous target recognition algorithm processing. A search manager can then assign an evaluation criteria value to the generated sensor scan schedule based on sensor scan schedule evaluation criteria, and compare the evaluation criteria value to other evaluation criteria values corresponding to respective previously generated sensor scan schedules to determine an optimal sensor scan schedule. The search manager can then determine whether to generate additional sensor scan schedules and assign additional evaluation criteria values for comparison to determine the optimal sensor scan schedule.
摘要翻译：描述传感器扫描计划器的方法和系统。在一个实施例中，可以由传感器扫描计划生成器生成传感器扫描调度表，以基于每个传感器的最佳能力和自主目标识别算法处理来优化多个传感器的扫描计划。然后，搜索管理器可以基于传感器扫描时间表评估标准将评估标准值分配给所生成的传感器扫描调度，并且将评估标准值与对应于先前产生的各个传感器扫描计划的其他评估标准值进行比较，以确定最佳传感器扫描计划。然后，搜索管理器可以确定是否生成附加的传感器扫描计划，并分配其他评估标准值进行比较以确定最佳传感器扫描计划。

8. 发明申请

US20070268364A1 MOVING OBJECT DETECTION 有权
标题翻译：移动物体检测
公开(公告)号：US20070268364A1
公开(公告)日：2007-11-22
申请号：US11383911
申请日：2006-05-17
申请人： Michael G. Neff , Shirley N. Cheng , Ted L. Johnson
发明人： Michael G. Neff , Shirley N. Cheng , Ted L. Johnson
IPC分类号： H04N7/18 , H04N5/33
CPC分类号： G06T7/254 , G06T7/215
摘要： Moving object detection methods and systems are described. In an embodiment, motion likelihoods are accumulated from sets of sequential image frames which are generated from a sensor scan of one or more moving objects. Regions that each indicates a probable moving object from the accumulated motion likelihoods are determined, and the one or more moving objects are then detected from the respective regions that indicate a probable moving object.
摘要翻译：描述移动物体检测方法和系统。在一个实施例中，从一个或多个移动物体的传感器扫描产生的连续图像帧集合中积累运动似然性。确定每个从累积的运动似然性中指示可能的运动对象的区域，然后从指示可能的运动对象的各个区域检测一个或多个运动对象。

9. 发明申请

US20100274487A1 ROUTE SEARCH PLANNER 审中-公开
标题翻译：路由搜索计划
公开(公告)号：US20100274487A1
公开(公告)日：2010-10-28
申请号：US12834867
申请日：2010-07-12
申请人： Michael G. Neff , Shirley N. Cheng , Ted L. Johnson , Chang-Shaung R. Lee
发明人： Michael G. Neff , Shirley N. Cheng , Ted L. Johnson , Chang-Shaung R. Lee
IPC分类号： G01C21/00
CPC分类号： F41G7/343 , G01C21/00
摘要： Route search planner methods and systems are described. In an embodiment, a probability map can be generated from previous sensor scans combined with a projected target location of relocatable targets in a target area. A route can be generated by a route generator, based at least in part on the probability map, and based on optimal system performance capabilities utilized to search for at least one of the relocatable targets. A search manager can then assign an evaluation criteria value to the route based on route evaluation criteria, and compare the evaluation criteria value to other evaluation criteria values corresponding to respective previously generated routes to determine an optimal route. The search manager can then determine whether to generate one or more additional routes and assign additional evaluation criteria values for comparison to determine the optimal route.
摘要翻译：描述路线搜索计划方法和系统。在一个实施例中，可以从与目标区域中的可重定位目标的投影目标位置组合的先前传感器扫描生成概率图。可以至少部分地基于概率图，并且基于用于搜索可重定位目标中的至少一个的最佳系统性能能力，由路由生成器生成路由。然后，搜索管理器可以基于路线评估标准向路线分配评估标准值，并将评估标准值与对应于先前生成的各路由的其他评估标准值进行比较，以确定最佳路由。然后，搜索管理器可以确定是否生成一个或多个附加路线并分配附加的评估标准值以进行比较以确定最佳路线。

10. 发明授权

US5982930A Image processing method and apparatus for correlating a test image with a template 失效
标题翻译：用于将测试图像与模板相关联的图像处理方法和装置
公开(公告)号：US5982930A
公开(公告)日：1999-11-09
申请号：US6402
申请日：1998-01-13
申请人： Michael G. Neff , Ted L. Johnson , Steven A. Wright , Victor E. Ratkowski, Jr.
发明人： Michael G. Neff , Ted L. Johnson , Steven A. Wright , Victor E. Ratkowski, Jr.
IPC分类号： G06K9/00 , G06K9/64 , G06T7/00 , G06K9/62
CPC分类号： G06T7/003 , F41G7/007 , F41G7/2226 , F41G7/2253 , F41G7/2293 , G06K9/00973 , G06K9/6202 , G06K9/6203
摘要： The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N.sub.T which form the template and for determining the number of pixels N.sub.i which form each of the labels i. The image correlation apparatus also includes comparison means for comparing the test image to the template. The comparison means determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparison means also determines, for each predetermined gray level j, the number of pixels of the test image N.sub.j representative of a predetermined gray level j which correspond to the template. The image correlation apparatus further includes correlation means for determining the correlation X between the test image and the template according to a predetermined equation which is based, at least in part, upon N.sub.j,i, N.sub.j, N.sub.i and N.sub.T. The image correlation apparatus can also include an address generator for creating a number of relative offsets between the template and the test image. Thus, the test image can be compared to the template at each relative offset and the relative offset which provides the greatest correlation therebetween can be determined. Consequently, the test image and the template can be effectively matched such that a preselected object designated within the template can be located and identified within the test image.
摘要翻译：图像相关方法和装置将测试图像与模板相关或匹配。图像相关装置包括用于将模板分割成多个标签的图像处理器，用于确定形成模板的像素数目NT，以及用于确定形成每个标签i的像素数目Ni。图像相关装置还包括用于将测试图像与模板进行比较的比较装置。对于每个预定灰度级j，比较装置确定表示与模板的预定标签i对应的预定灰度级j的测试图像Nj，i的像素数。比较装置还针对每个预定灰度级j确定表示与模板对应的预定灰度级j的测试图像Nj的像素数。图像相关装置还包括相关装置，用于根据至少部分地基于Nj，i，Nj，Ni和NT的预定方程式来确定测试图像和模板之间的相关性X. 图像相关装置还可以包括用于在模板和测试图像之间创建多个相对偏移量的地址发生器。因此，可以将测试图像与每个相对偏移处的模板进行比较，并且可以确定在其间提供最大相关性的相对偏移。因此，可以有效地匹配测试图像和模板，使得可以在测试图像内定位和识别在模板内指定的预选对象。

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