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1. 发明授权

US06708228B1 Automatic computer input device association 有权
标题翻译：自动计算机输入设备关联
公开(公告)号：US06708228B1
公开(公告)日：2004-03-16
申请号：US09709678
申请日：2000-11-09
申请人： Brian R. Meyers , Stephen C. Harris , Barry L. Brumitt , John C. Krumm , Steven A. N. Shafer
发明人： Brian R. Meyers , Stephen C. Harris , Barry L. Brumitt , John C. Krumm , Steven A. N. Shafer
IPC分类号： G06F300
CPC分类号： G06F3/011 , G06F1/3203 , G06F1/3231 , G06F3/03543 , Y02D10/173
摘要： A system and process for automatically initiating and terminating associations between a computer input device of some type (e.g., computer mice, keyboards, trackballs, and the like) and a computer in a computing space that can have many such devices and several computers. In this way, input devices can be used to interface with any of the computers in the space. For instance, a user could move about a room filled with computers and their respective computer monitors, with a wireless mouse, and interface with the various computers using the mouse. To this end, the aforementioned association entails redirecting signals generated by a computer input device from one computing device in a computing space to another computing device in the space. The association is either initiated or terminated depending on whether sets of preconditions have been satisfied. These preconditions can be tied to any event or combination of events desired, and a set of preconditions can include any number of preconditions, even just one. In general, the preconditions will fall in two categories—namely proximity-related preconditions and nonproximity-related preconditions. Proximity-related initiating preconditions as the name implies involve a requirement that the input devices are relatively near a computer or a display device connected to the computer for an association to be initiated. Conversely, if the input device and computer are too far apart, proximity-related terminating preconditions would dictate that any association be terminated. Nonproximity-related preconditions can concern such things as ambient conditions (e.g., illumination), device states, pre-existing associations, and device incompatibility.
摘要翻译：用于自动启动和终止某些类型的计算机输入设备（例如，计算机鼠标，键盘，轨迹球等）与可以具有许多这样的设备和多台计算机的计算机空间中的计算机之间的关联的系统和过程。以这种方式，可以使用输入设备与空间中的任何计算机进行接口。例如，用户可以通过无线鼠标移动充满计算机的房间及其各自的计算机监视器，并且使用鼠标与各种计算机接口。为此，上述关联需要将由计算机输入设备产生的信号从计算空间中的一个计算设备重定向到该空间中的另一个计算设备。根据是否已经满足前提条件，启动或终止关联。这些前提条件可以与所需事件或事件的组合相关联，一组前提条件可以包括任何数量的前提条件，甚至只包括一个。一般来说，前提条件将分为两类，即接近相关的前提条件和与非邻近相关的先决条件。作为名称的与邻近相关的启动前提条件意味着涉及输入设备相对靠近计算机或连接到计算机的显示设备以便关联被启动的要求。相反，如果输入设备和计算机相距太远，则与邻近相关的终止前提条件将决定任何关联终止。非接近相关的前提条件可以涉及诸如环境条件（例如，照明），设备状态，预先存在的关联和设备不兼容性的事情。

2. 发明授权

US07515750B2 Background maintenance of an image sequence 有权
公开(公告)号：US07515750B2
公开(公告)日：2009-04-07
申请号：US11255450
申请日：2005-10-22
申请人： Kentaro Toyama , John C. Krumm , Barry L. Brumitt , Brian R. Meyers
发明人： Kentaro Toyama , John C. Krumm , Barry L. Brumitt , Brian R. Meyers
IPC分类号： G06K9/34 , G06K9/46
CPC分类号： G06K9/38 , G06T7/11 , G06T7/174 , G06T7/194 , G06T2207/10016 , G06T2207/20016 , G06T2207/20081
摘要： An image background maintenance system and method for maintaining a background model of an image sequence by processing on multiple spatial scales. These multiple spatial scales include a pixel scale, a regional scale and a frame scale. The image sequence undergoes pixel processing that determines a current background model and provides an initial pixel assignment as either a background or a foreground pixel. Region processing further refines the initial pixel assignments by considering relationships between pixels and possibly reassigning pixels. Frame processing further refines the current background model by determining whether a substantial change has occurred in the actual background and, if so, providing a more accurate background model.

3. 发明授权

US07548648B2 Background maintenance of an image sequence 有权
公开(公告)号：US07548648B2
公开(公告)日：2009-06-16
申请号：US11255688
申请日：2005-10-22
申请人： Kentaro Toyama , John C. Krumm , Barry L. Brumitt , Brian R. Meyers
发明人： Kentaro Toyama , John C. Krumm , Barry L. Brumitt , Brian R. Meyers
IPC分类号： G06K9/34 , G06K9/46 , G06K9/66
CPC分类号： G06K9/38 , G06T7/11 , G06T7/174 , G06T7/194 , G06T2207/10016 , G06T2207/20016 , G06T2207/20081
摘要： An image background maintenance system and method for maintaining a background model of an image sequence by processing on multiple spatial scales. These multiple spatial scales include a pixel scale, a regional scale and a frame scale. The image sequence undergoes pixel processing that determines a current background model and provides an initial pixel assignment as either a background or a foreground pixel. Region processing further refines the initial pixel assignments by considering relationships between pixels and possibly reassigning pixels. Frame processing further refines the current background model by determining whether a substantial change has occurred in the actual background and, if so, providing a more accurate background model.

4. 发明授权

US07489817B2 Background maintenance of an image sequence 有权
标题翻译：图像序列的后台维护
公开(公告)号：US07489817B2
公开(公告)日：2009-02-10
申请号：US11255447
申请日：2005-10-22
申请人： Kentaro Toyama , John C. Krumm , Barry L. Brumitt , Brian R. Meyers
发明人： Kentaro Toyama , John C. Krumm , Barry L. Brumitt , Brian R. Meyers
IPC分类号： G06K9/34 , G06K9/46 , G06K9/66
CPC分类号： G06K9/38 , G06T7/11 , G06T7/174 , G06T7/194 , G06T2207/10016 , G06T2207/20016 , G06T2207/20081
摘要： An image background maintenance system and method for maintaining a background model of an image sequence by processing on multiple spatial scales. These multiple spatial scales include a pixel scale, a regional scale and a frame scale. The image sequence undergoes pixel processing that determines a current background model and provides an initial pixel assignment as either a background or a foreground pixel. Region processing further refines the initial pixel assignments by considering relationships between pixels and possibly reassigning pixels. Frame processing further refines the current background model by determining whether a substantial change has occurred in the actual background and, if so, providing a more accurate background model.
摘要翻译：一种用于通过在多个空间尺度上处理来维护图像序列的背景模型的图像背景维护系统和方法。这些多个空间尺度包括像素尺度，区域尺度和帧尺度。图像序列经历像素处理，其确定当前背景模型，并将初始像素分配提供为背景或前景像素。区域处理通过考虑像素之间的关系和可能重新分配的像素进一步优化初始像素分配。帧处理通过确定在实际背景中是否发生实质性变化而进一步优化当前背景模型，如果是，则提供更准确的背景模型。

5. 发明授权

US07136525B1 System and method for background maintenance of an image sequence 有权
标题翻译：用于图像序列的后台维护的系统和方法
公开(公告)号：US07136525B1
公开(公告)日：2006-11-14
申请号：US09400346
申请日：1999-09-20
申请人： Kentaro Toyama , John C. Krumm , Barry L. Brumitt , Brian R. Meyers
发明人： Kentaro Toyama , John C. Krumm , Barry L. Brumitt , Brian R. Meyers
IPC分类号： G06K9/34 , G06K9/46 , G06K9/66
CPC分类号： G06K9/38 , G06T7/11 , G06T7/174 , G06T7/194 , G06T2207/10016 , G06T2207/20016 , G06T2207/20081
摘要： The present invention is embodied in a system and method for maintaining a background model of an image sequence by processing on multiple spatial scales. These multiple spatial scales include a pixel scale, a regional scale and a frame scale. The image sequence undergoes pixel processing that determines a current background model and provides an initial pixel assignment as either a background or a foreground pixel. Region processing further refines the initial pixel assignments by considering relationships between pixels and possibly reassigning pixels. Frame processing further refines the current background model by determining whether a substantial change has occurred in the actual background and, if so, providing a more accurate background model.
摘要翻译：本发明体现在通过在多个空间尺度上进行处理来保持图像序列的背景模型的系统和方法。这些多个空间尺度包括像素尺度，区域尺度和帧尺度。图像序列经历像素处理，其确定当前背景模型，并将初始像素分配提供为背景或前景像素。区域处理通过考虑像素之间的关系和可能重新分配的像素进一步优化初始像素分配。帧处理通过确定在实际背景中是否发生实质性变化而进一步优化当前背景模型，如果是，则提供更准确的背景模型。

6. 发明授权

US07953521B2 Learning controller for vehicle control 有权
标题翻译：车辆控制学习控制器
公开(公告)号：US07953521B2
公开(公告)日：2011-05-31
申请号：US11323697
申请日：2005-12-30
申请人： Michael Tipping , Mark Andrew Hatton , Barry L. Brumitt
发明人： Michael Tipping , Mark Andrew Hatton , Barry L. Brumitt
IPC分类号： G06F15/18
CPC分类号： G05B13/0265 , G09B9/04 , G09B23/06
摘要： A learning controller overcomes tuning problems in vehicle simulation programs by estimating requisite vehicle-specific parameters, effectively learning from its mistakes, as the vehicle is automatically driven around a track. After a sufficient period of calibration, the learned parameters are automatically saved to a car-specific file. The file parameters may be loaded in the controller in the future to optimally control a vehicle without the need to re-run the learning procedure.
摘要翻译：学习控制器通过估计必要的车辆特定参数来克服车辆模拟程序中的调谐问题，有效地从其错误中学习，因为车辆被自动地驱动在轨道周围。经过足够的校准时间后，学习的参数将自动保存到汽车专用文件中。文件参数可以在将来加载到控制器中以最佳地控制车辆，而不需要重新运行学习过程。

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