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1. 发明申请

US20090028347A1 AUDIO CAMERA USING MICROPHONE ARRAYS FOR REAL TIME CAPTURE OF AUDIO IMAGES AND METHOD FOR JOINTLY PROCESSING THE AUDIO IMAGES WITH VIDEO IMAGES 有权
标题翻译：使用麦克风阵列的音频相机实时拍摄音频图像和使用视频图像直接处理音频图像的方法
公开(公告)号：US20090028347A1
公开(公告)日：2009-01-29
申请号：US12127451
申请日：2008-05-27
申请人： Ramani Duraiswami , Adam O'Donovan , Jan Neumann , Nail A. Gumerov
发明人： Ramani Duraiswami , Adam O'Donovan , Jan Neumann , Nail A. Gumerov
IPC分类号： H04R5/00 , H04N9/475
CPC分类号： H04R1/406 , H04R3/005 , H04R2201/401 , H04R2430/20
摘要： Spherical microphone arrays provide an ability to compute the acoustical intensity corresponding to different spatial directions in a given frame of audio data. These intensities may be exhibited as an image and these images are generated at a high frame rate to achieve a video image if the data capture and intensity computations can be performed sufficiently quickly, thereby creating a frame-rate audio camera. A description is provided herein regarding how such a camera is built and the processing done sufficiently quickly using graphics processors. The joint processing of and captured frame-rate audio and video images enables applications such as visual identification of noise sources, beamforming and noise-suppression in video conferenceing and others, by accounting for the spatial differences in the location of the audio and the video cameras. Based on the recognition that the spherical array can be viewed as a central projection camera, such joint analysis can be performed.
摘要翻译：球面麦克风阵列提供了在给定的音频数据帧中计算对应于不同空间方向的声学强度的能力。这些强度可以作为图像显示，并且如果可以足够快地执行数据捕获和强度计算，从而创建帧率音频相机，则以高帧速率生成这些图像以实现视频图像。本文提供了关于如何构建这种相机并且使用图形处理器来处理足够快速的处理的描述。通过考虑音频和摄像机位置的空间差异，联合处理和捕获的帧率音频和视频图像可使诸如视频识别噪声源，视频会议等中的波束成形和噪声抑制等应用。基于将球形阵列视为中央投影摄像机的认识，可以进行这种联合分析。

2. 发明授权

US2462332A Button 失效
公开(公告)号：US2462332A
公开(公告)日：1949-02-22
申请号：US73590447
申请日：1947-03-20
申请人： JAN NEUMANN
发明人： JAN NEUMANN
IPC分类号： A44B1/28
CPC分类号： A44B1/28 , Y10T24/3651

3. 发明授权

US2100052A Meter for measuring and registering liquid volumes received and delivered 失效
标题翻译：用于测量和记录接收和传送的液体体积的仪表
公开(公告)号：US2100052A
公开(公告)日：1937-11-23
申请号：US5365635
申请日：1935-12-09
申请人： FRANTISEK HEJDUK , JAN NEUMANN
发明人： FRANTISEK HEJDUK , JAN NEUMANN
IPC分类号： B67D7/22
CPC分类号： B67D7/22

4. 发明申请

US20100008540A1 Method for Object Detection 有权
标题翻译：对象检测方法
公开(公告)号：US20100008540A1
公开(公告)日：2010-01-14
申请号：US12107151
申请日：2008-04-22
申请人： Vinay Damodar Shet , Jan Neumann , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
发明人： Vinay Damodar Shet , Jan Neumann , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
IPC分类号： G06K9/00
CPC分类号： G06K9/626 , G06K9/00369
摘要： A method for object detection from a visual image of a scene. The method includes: using a first order predicate logic formalism to specify a set of logical rules to encode contextual knowledge regarding the object to be detected; inserting the specified logical rules into a knowledge base; obtaining the visual image of the scene; applying specific object feature detectors to some or all pixels in the visual image of the scene to obtain responses at those locations; using the obtained responses to generate logical facts indicative of whether specific features or parts of the object are present or absent at that location in the visual image; inserting the generated logical facts into the knowledge base; and combining the logical facts with the set of logical rules to whether the object is present or absent at a particular location in the scene.
摘要翻译：一种用于从场景的视觉图像进行物体检测的方法。该方法包括：使用一阶谓词逻辑形式来指定一组逻辑规则以对关于待检测对象的上下文知识进行编码; 将指定的逻辑规则插入到知识库中; 获取场景的视觉图像; 将特定对象特征检测器应用于场景的视觉图像中的一些或所有像素，以在那些位置处获得响应; 使用所获得的响应来生成指示所述对象的特定特征或部分是否存在于所述视觉图像中的所述位置处的逻辑事实; 将生成的逻辑事实插入到知识库中; 以及将所述逻辑事实与所述逻辑规则集合，以组合所述对象是否存在于场景中的特定位置处。

5. 发明授权

US2116265A Multipiston meter 失效
标题翻译：多功能表
公开(公告)号：US2116265A
公开(公告)日：1938-05-03
申请号：US75929334
申请日：1934-12-26
申请人： FRANTISEK HEJDUK , JAN NEUMANN
发明人： FRANTISEK HEJDUK , JAN NEUMANN
IPC分类号： G01F3/18
CPC分类号： G01F3/18 , Y10T74/18256 , Y10T137/86743

6. 发明申请

US20130322765A1 Data Recognition in Content 有权
公开(公告)号：US20130322765A1
公开(公告)日：2013-12-05
申请号：US13487543
申请日：2012-06-04
申请人： Jan Neumann , Evelyne Tzoukermann , Amit Bagga , Oliver Jojic , Bageshree Shevade , David Houghton , Corey Farrell
发明人： Jan Neumann , Evelyne Tzoukermann , Amit Bagga , Oliver Jojic , Bageshree Shevade , David Houghton , Corey Farrell
IPC分类号： G06K9/48
CPC分类号： G06K9/00718 , G06F17/275 , G06F17/30781 , G06K9/00 , G06K9/00221 , G06K9/00228 , G06K9/00744 , G06K9/00765 , G06K9/34 , G06K9/48 , G06K9/481 , G10L15/22 , G10L25/57
摘要： The disclosure relates to recognizing data such as items or entities in content. In some aspects, content may be received and feature information, such as face recognition data and voice recognition data may be generated. Scene segmentation may also be performed on the content, grouping the various shots of the video content into one or more shot collections, such as scenes. For example, a decision lattice representative of possible scene segmentations may be determined and the most probable path through the decision lattice may be selected as the scene segmentation. Upon generating the feature information and performing the scene segmentation, one or more items or entities that are present in the scene may be identified.

7. 发明授权

US08548231B2 Predicate logic based image grammars for complex visual pattern recognition 有权
标题翻译：用于复杂视觉模式识别的基于逻辑的图像语法
公开(公告)号：US08548231B2
公开(公告)日：2013-10-01
申请号：US12724954
申请日：2010-03-16
申请人： Vinay Damodar Shet , Maneesh Kumar Singh , Claus Bahlmann , Visvanathan Ramesh , Stephen P. Masticola , Jan Neumann , Toufiq Parag , Michael A. Gall , Roberto Antonio Suarez
发明人： Vinay Damodar Shet , Maneesh Kumar Singh , Claus Bahlmann , Visvanathan Ramesh , Stephen P. Masticola , Jan Neumann , Toufiq Parag , Michael A. Gall , Roberto Antonio Suarez
IPC分类号： G06K9/62 , G06F17/00
CPC分类号： G06K9/00369 , G06K9/626
摘要： First order predicate logics are provided, extended with a bilattice based uncertainty handling formalism, as a means of formally encoding pattern grammars, to parse a set of image features, and detect the presence of different patterns of interest implemented on a processor. Information from different sources and uncertainties from detections, are integrated within the bilattice framework. Automated logical rule weight learning in the computer vision domain applies a rule weight optimization method which casts the instantiated inference tree as a knowledge-based neural network, to converge upon a set of rule weights that give optimal performance within the bilattice framework. Applications are in (a) detecting the presence of humans under partial occlusions and (b) detecting large complex man made structures in satellite imagery (c) detection of spatio-temporal human and vehicular activities in video and (c) parsing of Graphical User Interfaces.
摘要翻译：提供了第一级谓词逻辑，扩展了基于双精度的不确定性处理形式，作为正式编码模式语法的手段，解析一组图像特征，并检测在处理器上实现的不同兴趣模式的存在。来自不同来源的信息和来自检测的不确定性，被集成在双层框架内。计算机视觉领域中的自动逻辑规则权重学习应用规则权重优化方法，该方法将实例化推理树作为基于知识的神经网络进行聚合，以收敛于在边界框架内提供最佳性能的一组规则权重。应用是（a）检测部分闭塞下人的存在，（b）检测卫星图像中的大型复杂人造结构（c）检测视频中的时空人类和车辆活动，（c）解析图形用户界面。

8. 发明申请

US20100278420A1 Predicate Logic based Image Grammars for Complex Visual Pattern Recognition 有权
标题翻译：基于逻辑逻辑的图像语法用于复杂视觉模式识别
公开(公告)号：US20100278420A1
公开(公告)日：2010-11-04
申请号：US12724954
申请日：2010-03-16
申请人： Vinay Damodar Shet , Maneesh Kumar Singh , Claus Bahlmann , Visvanathan Ramesh , Stephen P. Masticola , Jan Neumann , Toufiq Parag , Michael A. Gall , Roberto Antonio Suarez
发明人： Vinay Damodar Shet , Maneesh Kumar Singh , Claus Bahlmann , Visvanathan Ramesh , Stephen P. Masticola , Jan Neumann , Toufiq Parag , Michael A. Gall , Roberto Antonio Suarez
IPC分类号： G06K9/62 , G06K9/46
CPC分类号： G06K9/00369 , G06K9/626
摘要： First order predicate logics are provided, extended with a bilattice based uncertainty handling formalism, as a means of formally encoding pattern grmmars, to parse a set of image features, and detect the presence of different patterns of interest implemented on a processor. Information from different sources and uncertainties from detections, are integrated within the bilattice framework. Automated logical rule weight learning in the computer vision domain applies a rule weight optimization method which casts the instantiated inference tree as a knowledge-based neural network, to converge upon a set of rule weights that give optimal performance within the bilattice framework. Applications are in (a) detecting the presence of humans under partial occlusions and (b) detecting large complex man made structures in satellite imagery (c) detection of spatio-temporal human and vehicular activities in video and (c) parsing of Graphical User Interfaces.
摘要翻译：提供了第一级谓词逻辑，扩展了基于二进制的不确定性处理形式，作为正式编码模式格式的手段，解析一组图像特征，以及检测在处理器上实现的不同感兴趣模式的存在。来自不同来源的信息和来自检测的不确定性，被集成在双层框架内。计算机视觉领域中的自动逻辑规则权重学习应用规则权重优化方法，该方法将实例化推理树作为基于知识的神经网络进行聚合，以收敛于在边界框架内提供最佳性能的一组规则权重。应用是（a）检测部分闭塞下人的存在，（b）检测卫星图像中的大型复杂人造结构（c）检测视频中时空人类和车辆的活动，（c）解析图形用户界面。

9. 发明申请

US20090294190A1 Electrical Gearbox With Continuous Variation 审中-公开
标题翻译：电动变速箱连续变化
公开(公告)号：US20090294190A1
公开(公告)日：2009-12-03
申请号：US11988350
申请日：2006-07-03
申请人： Jörg Oldenburg , Jan Neumann
发明人： Jörg Oldenburg , Jan Neumann
IPC分类号： B60K6/543
CPC分类号： B60K6/365 , B60K6/448 , B60K6/48 , B60K6/543 , B60L50/16 , B60L50/61 , B60L2220/50 , B60L2240/12 , B60L2240/421 , B60L2240/423 , B60L2240/441 , B60L2240/443 , H02K51/00 , Y02T10/6217 , Y02T10/6221 , Y02T10/6243 , Y02T10/641 , Y02T10/642 , Y02T10/7077
摘要： An electric transmission comprises an input shaft (10, 11) connectable to a drive means, such as an internal combustion engine. The input shaft (10, 11) is connected to an output shaft (20, 60) through an electric power transmission means (88, 66). Here, the electric power transmission means (88, 66 and 18, 26, 42, 46) comprises magnets (26, 42, 88) connected to the input shaft (10, 11), said magnets inducing power into coils (26, 66) connected with the output shaft (20, 60). Using a switching means (46, 68) connected to the coils (26, 66), a magnetic force is generated that causes the rotation of the output shaft (20, 60).
摘要翻译：电动变速器包括可连接到诸如内燃机的驱动装置的输入轴（10,11）。输入轴（10,11）通过电力传输装置（88,66）连接到输出轴（20,60）。这里，电力传递装置（88,66和18,26,42,46）包括连接到输入轴（10,11）的磁体（26,42,48），所述磁体将电力引入线圈（26,66 ）与输出轴（20,60）连接。使用连接到线圈（26,66）的开关装置（46,68），产生导致输出轴（20,60）旋转的磁力。

10. 发明授权

US5446971A Method for the dimensional measurement of workpieces 失效
标题翻译：工件尺寸测量方法
公开(公告)号：US5446971A
公开(公告)日：1995-09-05
申请号：US180988
申请日：1994-01-14
申请人： Jan Neumann
发明人： Jan Neumann
IPC分类号： G01B5/00 , G01N25/16 , G01D3/028
CPC分类号： G01N25/16 , G01B5/0014 , Y10S33/19
摘要： A method for compensating sliding temperature influences on workpieces during a dimensional measurement process. For this purpose, the workpiece temperature and the relative position of the workpiece in relation to the measuring apparatus are recorded at the start and at the end of the actual measurement. By use of the recorded values, the temperature of the workpiece can be calculated at each instant of the dimensional measurement and the relative position of the workpiece in relation to the measuring apparatus and therefore the corrected scanning point can thus be determined. Thus, in the dimensional measurement of workpieces, while taking into account the temperature influences, the temperature straight line in the time interval from the start of measurement to the end of measurement is divided by intermediate measurements into part intervals, within which interpolation can be carried out. For a further improvement of these values, the instants of coordinate measurement are made to coincide with the instants of temperature measurement.
摘要翻译：在尺寸测量过程中补偿滑动温度对工件的影响的方法。为此，在实际测量的开始和结束时记录工件温度和工件相对于测量装置的相对位置。通过使用记录值，可以在尺寸测量的每个瞬间和工件相对于测量装置的相对位置计算工件的温度，因此可以确定校正的扫描点。因此，在工件的尺寸测量中，考虑到温度影响，从测量开始到测量结束的时间间隔中的温度直线被中间测量除以部分间隔，其中可以进行内插出来为了进一步改进这些值，使坐标测量的时刻与温度测量的时刻一致。

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