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61. 发明申请

US20070019073A1 Statistical modeling and performance characterization of a real-time dual camera surveillance system 审中-公开
标题翻译：实时双摄像监控系统的统计建模与性能表征
公开(公告)号：US20070019073A1
公开(公告)日：2007-01-25
申请号：US11484994
申请日：2006-07-12
申请人： Dorin Comaniciu , Michael Greiffenhagen , Visvanathan Ramesh
发明人： Dorin Comaniciu , Michael Greiffenhagen , Visvanathan Ramesh
IPC分类号： H04N7/18
CPC分类号： H04N7/181 , G06T7/277 , G06T7/77 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241 , G08B13/19604 , G08B13/19608 , G08B13/19628 , G08B13/19641 , G08B13/19643 , G08B13/19647 , H04N5/232
摘要： The present invention relates to a method for visually detecting and tracking an object through a space. The method chooses modules for a restricting a search function within the space to regions with a high probability of significant change, the search function operating on images supplied by a camera. The method also derives statistical models for errors, including quantifying an indexing step performed by an indexing module, and tuning system parameters. Further the method applies a likelihood model for candidate hypothesis evaluation and object parameters estimation for locating the object.
摘要翻译：本发明涉及一种用于通过空间目视检测和跟踪物体的方法。该方法选择用于将空间内的搜索功能限制在具有很大变化概率的区域的模块，该搜索功能对由相机提供的图像进行操作。该方法还导出错误的统计模型，包括量化由索引模块执行的索引步骤，以及调整系统参数。此外，该方法应用候选假设评估的可行性模型和用于定位对象的对象参数估计。

62. 发明授权

US07095401B2 System and method for gesture interface 有权
公开(公告)号：US07095401B2
公开(公告)日：2006-08-22
申请号：US10001553
申请日：2001-10-31
申请人： Che-Bin Liu , Visvanathan Ramesh , Bernhard Geiger
发明人： Che-Bin Liu , Visvanathan Ramesh , Bernhard Geiger
IPC分类号： G09G5/00
CPC分类号： G06F3/017 , G06K9/00335
摘要： A method for determining a gesture includes determining a change in a background of an image from a plurality of images, determining a object in the image, determining a trajectory of the object through the plurality of images, and classifying a gesture according to the trajectory of the object.

63. 发明授权

US07079992B2 Systematic design analysis for a vision system 有权
公开(公告)号：US07079992B2
公开(公告)日：2006-07-18
申请号：US10166229
申请日：2002-06-05
申请人： Michael Greiffenhagen , Visvanathan Ramesh
发明人： Michael Greiffenhagen , Visvanathan Ramesh
IPC分类号： G06F7/60 , G03B13/00
CPC分类号： G06K9/6253
摘要： A technique is disclosed for building a vision system. Reusable components and replacement components of an existing vision system are identified. The replacement components may be modules that are influenced by the relaxation in application constraints. Statistical characterization is performed on the replacement components (or the hybrid design variations obtained by fusing modules with the replacement modules). Wrappers are developed that provide statistical consistency with existing interfaces and are integrated into the new vision system.

64. 发明授权

US07035465B2 Systems and methods for automatic scale selection in real-time imaging 有权
公开(公告)号：US07035465B2
公开(公告)日：2006-04-25
申请号：US10345094
申请日：2003-01-15
申请人： Dorin Comaniciu , Visvanathan Ramesh
发明人： Dorin Comaniciu , Visvanathan Ramesh
IPC分类号： G06K9/46 , G06K9/66
CPC分类号： G06K9/42 , G06K9/6226 , G06K9/6298 , G06K2209/01 , G06T7/13 , G06T7/90 , G06T2207/20016 , G06T2207/20048
摘要： A system and method for automatic scale selection in real-time image and video processing and computer vision applications. In one aspect, a non-parametric variable bandwidth mean shift technique, which is based on adaptive estimation of a normalized density gradient, is used for detecting one or more modes in the underlying data and clustering the underlying data. In another aspect, a data-driven bandwidth (or scale) selection technique is provided for the variable bandwidth mean shift method, which estimates for each data point the covariance matrix that is the most stable across a plurality of scales. The methods can be used for detecting modes and clustering data for various types of data such as image data, video data speech data, handwriting data, etc.

65. 发明授权

US07995809B2 Refined segmentation of nodules for computer assisted diagnosis 有权
标题翻译：精细分割结节用于计算机辅助诊断
公开(公告)号：US07995809B2
公开(公告)日：2011-08-09
申请号：US11396854
申请日：2006-04-03
申请人： Kazunori Okada , Visvanathan Ramesh , Arun Krishnan , Maneesh K. Singh , Umut Akdemir
发明人： Kazunori Okada , Visvanathan Ramesh , Arun Krishnan , Maneesh K. Singh , Umut Akdemir
IPC分类号： G06K9/00
CPC分类号： G06T7/155 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/20008 , G06T2207/20116 , G06T2207/30064
摘要： By testing for nodule segmentation errors based on the scan data, juxtapleural cases are identified. Once identified, the scan data or subsequent estimation may be altered to account for adjacent rib, tissue, vessel or other structure effecting segmentation. One alteration is to shape a filter as a function of the scan data. For example, an originally estimated ellipsoid for the nodule segmentation defines the filter. The filter is used to identify the undesired information, and masking removes the undesired information for subsequent estimation of the nodule segmentation. Another possible alteration biases the subsequent estimation away from the incorrect information, such as the rib, tissue or vessel information influencing the original estimation. For example, a negative prior or probability is assigned to data corresponding to the originally estimated segmentation for the subsequent estimation.
摘要翻译：通过基于扫描数据测试结节分割错误，确定并列案例。一旦被识别，可以改变扫描数据或随后的估计，以考虑影响分割的相邻肋，组织，血管或其他结构。一个改变是根据扫描数据来形成一个过滤器。例如，用于结节分段的原始估计的椭圆体定义了滤波器。滤波器用于识别不期望的信息，并且掩蔽去除了不期望的信息以用于随后估计结节分割。另一种可能的改变偏离了不正确信息的后续估计，例如影响原始估计的肋骨，组织或血管信息。例如，将负的先前或概率分配给对应于用于后续估计的最初估计的分割的数据。

66. 发明授权

US07887234B2 Maximum blade surface temperature estimation for advanced stationary gas turbines in near-infrared (with reflection) 有权
标题翻译：近红外（带反射）的先进固定式燃气轮机的最大叶片表面温度估算
公开(公告)号：US07887234B2
公开(公告)日：2011-02-15
申请号：US11872758
申请日：2007-10-16
申请人： Vinay Jonnalagadda , Dennis H. Lemieux , Visvanathan Ramesh , Matthias Voigt
发明人： Vinay Jonnalagadda , Dennis H. Lemieux , Visvanathan Ramesh , Matthias Voigt
IPC分类号： G01J5/00 , G01K13/08 , G01N21/00
CPC分类号： G01J5/0003 , G01J5/0022 , G01J5/0088 , G01J5/06 , G01J5/522 , G01J5/60 , G01J2005/0059 , G01J2005/0077 , G01J2005/0081
摘要： Methods for maximum scene surface temperature estimation for blades with reflective surface properties in advanced stationary gas turbines are disclosed. The approach utilizes high speed infrared imagery provided by an online monitor system using a focal plan array (FPA) for near-infrared monitoring during engine runtime up to base load. The one waveband method for temperature estimation is assumed as starting point. A lower surface emissivity and higher surface reflectance of thermal barrier coating (TBC) in near-infrared can cause systematic estimation errors. Methods using the one wave band method, with the purpose to reduce estimation errors for maximum temperatures are also disclosed. Theoretical results, data from numerical simulations, and real data from engine test are provided. A system for performing temperature estimation methods is also disclosed.
摘要翻译：公开了在高级固定式燃气轮机中具有反射表面特性的叶片的最大场景表面温度估计方法。该方法利用在线监测系统提供的高速红外图像，使用焦点计划阵列（FPA）在发动机运行时到基本负载时进行近红外监测。假定温度估计的一种波段方法作为起点。近红外热阻层（TBC）的较低表面发射率和较高的表面反射率可导致系统的估计误差。还公开了使用一波段方法的方法，其目的是减少最大温度的估计误差。提供了理论结果，数值模拟数据和发动机试验的实际数据。还公开了一种用于执行温度估计方法的系统。

67. 发明申请

US20090080732A1 System and Method for Performing Probabilistic Classification and Decision Support Using Multidimensional Medical Image Databases 有权
标题翻译：使用多维医学图像数据库执行概率分类和决策支持的系统和方法
公开(公告)号：US20090080732A1
公开(公告)日：2009-03-26
申请号：US12243199
申请日：2008-10-01
申请人： Xiang Sean Zhou , Dorin Comaniciu , Alok Gupta , Visvanathan Ramesh , Bhavani Duggirala , Diane Paine
发明人： Xiang Sean Zhou , Dorin Comaniciu , Alok Gupta , Visvanathan Ramesh , Bhavani Duggirala , Diane Paine
IPC分类号： G06K9/00 , G06Q50/00
CPC分类号： G06K9/6276 , A61B8/0883 , G06F19/00 , G06K9/6256 , G06K2209/05 , G06Q50/22 , G16H50/20 , Y10S128/92 , Y10S128/924
摘要： A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.
摘要翻译：公开了一种用于在医学检查期间向医师提供决策支持的系统和方法。从代表特定医疗测量的传感器接收数据。所接收的数据包括图像数据。相对于一组或多组训练模型分析接收到的数据和上下文数据。特定医疗测量和其他测量的概率值基于分析并基于识别的类别导出。将接收到的图像数据与训练图像进行比较。在接收的图像数据和训练图像之间确定距离值，并且训练图像与所识别的类别相关联。基于分析，针对特定医疗测量和其他测量得出绝对值特征灵敏度得分。将概率值，距离值和绝对值特征灵敏度得分输出给用户。

68. 发明授权

US07466841B2 Method for traffic sign detection 有权
标题翻译：交通标志检测方法
公开(公告)号：US07466841B2
公开(公告)日：2008-12-16
申请号：US11109106
申请日：2005-04-19
申请人： Claus Bahlmann , Ying Zhu , Visvanathan Ramesh , Martin Pellkofer , Thorsten Köhler
发明人： Claus Bahlmann , Ying Zhu , Visvanathan Ramesh , Martin Pellkofer , Thorsten Köhler
IPC分类号： G06K9/00
CPC分类号： G06K9/00818 , G06K9/4633 , G06K9/4652
摘要： A method for detecting and recognizing at least one traffic sign is disclosed. A video sequence having a plurality of image frames is received. One or more filters are used to measure features in at least one image frame indicative of an object of interest. The measured features are combined and aggregated into a score indicating possible presence of an object. The scores are fused over multiple image frames for a robust detection. If a score indicates possible presence of an object in an area of the image frame, the area is aligned with a model. A determination is then made as to whether the area indicates a traffic sign. If the area indicates a traffic sign, the area is classified into a particular type of traffic sign. The present invention is also directed to training a system to detect and recognize traffic signs.
摘要翻译：公开了一种用于检测和识别至少一个交通标志的方法。接收具有多个图像帧的视频序列。使用一个或多个过滤器来测量指示感兴趣对象的至少一个图像帧中的特征。测量的特征被组合并聚合成表示对象可能存在的分数。分数融合在多个图像帧上以进行鲁棒检测。如果分数表示在图像帧的区域中可能存在对象，则该区域与模型对齐。然后确定该区域是否指示交通标志。如果该区域指示交通标志，该区域被分类为特定类型的交通标志。本发明还涉及训练用于检测和识别交通标志的系统。

69. 发明授权

US07457436B2 Real-time crowd density estimation from video 有权
标题翻译：视频实时人群密度估计
公开(公告)号：US07457436B2
公开(公告)日：2008-11-25
申请号：US11545236
申请日：2006-10-10
申请人： Nikos Paragios , Visvanathan Ramesh , Bjoern Stenger , Frans Coetzee
发明人： Nikos Paragios , Visvanathan Ramesh , Bjoern Stenger , Frans Coetzee
IPC分类号： G06K9/00 , H04N5/225
CPC分类号： G06K9/00778 , G06K9/38 , G06K9/4638 , G06K9/4652 , G06T7/254
摘要： A system and method for automated and/or semi-automated analysis of video for discerning patterns of interest in video streams. In a preferred embodiment, the present invention is directed to identifying patterns of interest in indoor settings. In one aspect, the present invention deals with the change detection problem using a Markov Random Field approach where information from different sources are naturally combined with additional constraints to provide the final detection map. A slight modification is made of the regularity term within the MRF model that accounts for real-discontinuities in the observed data. The defined objective function is implemented in a multi-scale framework that decreases the computational cost and the risk of convergence to local minima. To achieve real-time performance, fast deterministic relaxation algorithms are used to perform the minimization. The crowdedness measure used is a geometric measure of occupancy that is quasi-invariant to objects translating on the platform.
摘要翻译：用于视频流的自动化和/或半自动分析视频的识别模式的系统和方法。在优选实施例中，本发明涉及识别室内设置中的兴趣模式。一方面，本发明涉及使用马尔可夫随机场方法的变化检测问题，其中来自不同来源的信息自然地与额外的约束组合以提供最终检测图。对MRF模型中的规则性术语进行了一些细微的修改，从而解释了观察数据中的实际不连续性。定义的目标函数在多尺度框架中实现，该框架降低了计算成本和融合到局部最小值的风险。为了实现实时性能，使用快速确定性松弛算法来执行最小化。所使用的拥挤措施是对平台上翻译的对象进行准不变的占用的几何度量。

70. 发明申请

US20080095212A1 Maximum Blade Surface Temperature Estimation for Advanced Stationary Gas Turbines in Near-Infrared (with Reflection) 有权
标题翻译：近红外高级固定式燃气轮机的最大叶片表面温度估计（带反射）
公开(公告)号：US20080095212A1
公开(公告)日：2008-04-24
申请号：US11872758
申请日：2007-10-16
申请人： Vinay Jonnalagadda , Dennis Lemieux , Visvanathan Ramesh , Matthias Voigt
发明人： Vinay Jonnalagadda , Dennis Lemieux , Visvanathan Ramesh , Matthias Voigt
IPC分类号： G01J5/00
CPC分类号： G01J5/0003 , G01J5/0022 , G01J5/0088 , G01J5/06 , G01J5/522 , G01J5/60 , G01J2005/0059 , G01J2005/0077 , G01J2005/0081
摘要： Methods for maximum scene surface temperature estimation for blades with reflective surface properties in advanced stationary gas turbines are disclosed. The approach utilizes high speed infrared imagery provided by an online monitor system using a focal plan array (FPA) for near-infrared monitoring during engine runtime up to base load. The one waveband method for temperature estimation is assumed as starting point. A lower surface emissivity and higher surface reflectance of thermal barrier coating (TBC) in near-infrared can cause systematic estimation errors. Methods using the one wave band method, with the purpose to reduce estimation errors for maximum temperatures are also disclosed. Theoretical results, data from numerical simulations, and real data from engine test are provided. A system for performing temperature estimation methods is also disclosed.
摘要翻译：公开了在高级固定式燃气轮机中具有反射表面特性的叶片的最大场景表面温度估计方法。该方法利用在线监测系统提供的高速红外图像，使用焦点计划阵列（FPA）在发动机运行时到基本负载时进行近红外监测。假定温度估计的一种波段方法作为起点。近红外热阻层（TBC）的较低表面发射率和较高的表面反射率可导致系统的估计误差。还公开了使用一波段方法的方法，其目的是减少最大温度的估计误差。提供了理论结果，数值模拟数据和发动机试验的实际数据。还公开了一种用于执行温度估计方法的系统。

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