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61. 发明授权

US08358806B2 Fast crowd segmentation using shape indexing 失效
标题翻译：快速人群分割使用形状索引
公开(公告)号：US08358806B2
公开(公告)日：2013-01-22
申请号：US12184685
申请日：2008-08-01
申请人： Lan Dong , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
发明人： Lan Dong , Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
IPC分类号： G06K9/00
CPC分类号： G06K9/00369 , G06K9/00778
摘要： A method for performing crowd segmentation includes receiving video image data (S21). Background differencing is performed on the received video image data to identify a foreground silhouette shape (S22). Approximate number and position of human subjects within the received video image data are determined by matching the foreground silhouette shape against a set of predetermined foreground silhouette shapes, for each of which a number and position of human subjects is known (S28). The estimated number and position of the human subjects is refined to determine a final number and position of the human subjects (S27).
摘要翻译：执行人群分割的方法包括接收视频图像数据（S21）。对所接收的视频图像数据执行背景差异以识别前景轮廓形状（S22）。通过将前景剪影形状与一组预定的前景剪影形状相匹配来确定人类受试者在接收的视频图像数据内的近似数量和位置，对于每个人的受试者的数量和位置是已知的（S28）。改进人类受试者的估计数量和位置，以确定人类受试者的最终数量和位置（S27）。

62. 发明授权

US08098290B2 Multiple camera system for obtaining high resolution images of objects 有权
标题翻译：用于获得物体的高分辨率图像的多相机系统
公开(公告)号：US08098290B2
公开(公告)日：2012-01-17
申请号：US11042125
申请日：2005-01-24
申请人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh
发明人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh
IPC分类号： H04N5/232 , H04N7/18 , H04N5/225
CPC分类号： G06K9/209 , G06K9/32 , G06T5/50 , G06T7/254 , G06T7/73
摘要： A system and corresponding method for image acquisition are provided, the system including a processor, an imaging adapter in signal communication with the processor for receiving image data from each of a static imaging device and a dynamic imaging device, and a homography unit in signal communication with the processor for computing a planar homography between the static and dynamic image data; and the method including receiving an image from a static imaging device, receiving an image from a dynamic imaging device, and registering the dynamic image to the static image using planar homography.
摘要翻译：提供了一种用于图像采集的系统和相应的方法，该系统包括处理器，与处理器进行信号通信的成像适配器，用于从静态成像设备和动态成像设备中的每一个接收图像数据，以及信号通信中的单对应单元处理器用于计算静态和动态图像数据之间的平面单应性; 并且该方法包括从静态成像设备接收图像，从动态成像设备接收图像，以及使用平面单应性将动态图像注册到静态图像。

63. 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。

64. 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。

65. 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。

66. 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。

67. 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。

68. 发明申请

US20080100473A1 Spatial-temporal Image Analysis in Vehicle Detection Systems 审中-公开
标题翻译：车辆检测系统中的时空图像分析
公开(公告)号：US20080100473A1
公开(公告)日：2008-05-01
申请号：US11876975
申请日：2007-10-23
申请人： Xiang Gao , Visvanathan Ramesh , Imad Zoghlami
发明人： Xiang Gao , Visvanathan Ramesh , Imad Zoghlami
IPC分类号： G08G1/017
CPC分类号： G08G1/04
摘要： A method and system for background maintenance of a vision system by fusing a plurality of detection methods and applying a 1D analysis to verify an absence of a static vehicle is provided. Methods for analyzing spatial temporal images in vehicle detection systems are provided. A method for processing a 1-dimensional profile is provided to detect a static vehicle in a traffic lane. When no vehicles are detected, a background image may be updated. A method for processing a 1-dimensional profile is also provided to detect occlusions of a traffic lane by a vehicle in a neighboring traffic lane. A method to reduce false alarm in wrong way driver detection applies the method for occlusion detection. A method to detect a slow moving vehicle in a traffic lane from a spatial-temporal image is also disclosed. A system applying the methods for processing 1-dimensional profiles is also provided.
摘要翻译：提供了一种通过融合多种检测方法并应用1D分析来验证静态车辆不存在的视觉系统的背景维护的方法和系统。提供了用于分析车辆检测系统中的空间时间图像的方法。提供一种用于处理一维轮廓的方法以检测行车道中的静态车辆。当没有检测到车辆时，可以更新背景图像。还提供了一种用于处理一维轮廓的方法，用于检测相邻行车道中的车辆对行车道的遮挡。以错误的方式减少误报的方法驱动程序检测的方法适用于遮挡检测的方法。还公开了一种从空间 - 时间图像检测行车道中的缓慢移动的车辆的方法。还提供了应用用于处理一维轮廓的方法的系统。

69. 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。

70. 发明申请

US20070183630A1 Tunable kernels for tracking 有权
标题翻译：用于跟踪的可调内核
公开(公告)号：US20070183630A1
公开(公告)日：2007-08-09
申请号：US11650788
申请日：2007-01-08
申请人： Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
发明人： Vasudev Parameswaran , Visvanathan Ramesh , Imad Zoghlami
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , G06K9/4642 , G06K9/6226
摘要： A tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking is provided. The solution to the tracking problem is articulated into a method that encodes the spatial configuration of features along with their density and yet retains robustness to spatial deformations and feature density variations. The method of encoding of spatial configuration is provided using a set of kernels whose parameters can be optimized for a given class of objects off-line. The method enables the use of mean-shift iterations and runs in real-time. Better tracking results by the novel tracking method as compared to the original mean-shift tracker are demonstrated.
摘要翻译：提供了用于跟踪的可调表示，其以能够使用平均移位迭代进行跟踪的方式同时编码外观和几何。跟踪问题的解决方案是将特征的空间配置及其密度进行编码，并保持对空间变形和特征密度变化的鲁棒性。使用一组内核来提供空间配置的编码方法，该内核的参数可以离线给定类别的对象进行优化。该方法使得可以实时使用均值迭代和运行。证明了与原始平均移位跟踪器相比，通过新颖的跟踪方法更好的跟踪结果。

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