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11. 发明授权

US07899209B2 Statistical modeling and performance characterization of a real-time dual camera surveillance system 有权
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：US07899209B2
公开(公告)日：2011-03-01
申请号：US11112930
申请日：2005-04-22
申请人： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
发明人： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
IPC分类号： G06K9/00 , 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。

12. 发明申请

US20100007740A1 Statistical modeling and performance characterization of a real-time dual camera surveillance system 有权
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：US20100007740A1
公开(公告)日：2010-01-14
申请号：US11112930
申请日：2005-04-22
申请人： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
发明人： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
IPC分类号： H04N5/225 , G06F17/18
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。

13. 发明授权

US07031523B2 Systems and methods for automatic scale selection in real-time imaging 有权
公开(公告)号：US07031523B2
公开(公告)日：2006-04-18
申请号：US10147092
申请日：2002-05-16
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.

14. 发明授权

US06590999B1 Real-time tracking of non-rigid objects using mean shift 有权
标题翻译：使用平均偏移实时跟踪非刚体物体
公开(公告)号：US06590999B1
公开(公告)日：2003-07-08
申请号：US09503991
申请日：2000-02-14
申请人： Dorin Comaniciu , Visvanathan Ramesh
发明人： Dorin Comaniciu , Visvanathan Ramesh
IPC分类号： G06K900
CPC分类号： G06K9/32 , G06K9/6226 , G06T7/277
摘要： A method and apparatus for real-time tracking of a non-rigid target. The tracking is based on visual features, such as color and/or texture, where statistical distributions of those features characterize the target. A degree of similarity (&rgr;(y0)) is computed between a given target (at y0) in a first frame and a candidate target (at y1) in a successive frame, the degree being expressed by a metric derived from the Bhattacharyya coefficient. A gradient vector corresponding to a maximization of the Bhattacharyya coefficient is used to derive the most probable location of the candidate target in the successive frame.
摘要翻译：用于实时跟踪非刚性目标的方法和装置。跟踪基于诸如颜色和/或纹理的视觉特征，其中这些特征的统计分布表征目标。在连续帧中的第一帧中的给定目标（在y0）和连续帧中的候选目标（在y1）之间计算相似度（rho（y0）），该程度由从Bhattacharyya系数导出的度量表示。使用对应于Bhattacharyya系数的最大化的梯度向量来导出候选目标在连续帧中的最可能的位置。

15. 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。

16. 发明授权

US07499570B2 Illumination invariant change detection 失效
标题翻译：照明不变变化检测
公开(公告)号：US07499570B2
公开(公告)日：2009-03-03
申请号：US11066772
申请日：2005-02-25
申请人： Imad Zoghlami , Dorin Comaniciu , Visvanathan Ramesh
发明人： Imad Zoghlami , Dorin Comaniciu , Visvanathan Ramesh
IPC分类号： G06K9/00 , G06K9/36 , G06K9/46
CPC分类号： G06K9/00711 , G08B13/1961 , H04N19/142 , H04N19/48 , H04N19/61 , H04N19/87
摘要： A system and method for illumination invariant change detection are provided, the system including a processor, an energy ranking unit in signal communication with the processor for extracting block coefficients for the first and second images and computing an energy difference responsive to the coefficients for a frequency energy between the first and second images, and a change detection unit in signal communication with the processor for analyzing the energy difference and detecting a scene change if the energy difference is indicative of change; and the method including receiving first and second images, extracting block coefficients corresponding to frequency energies for the first and second images, computing an energy difference for at least one of the frequency energies between the first and second images, analyzing the at least one energy difference, and detecting a scene change if the energy difference is indicative of change.
摘要翻译：提供了一种用于照明不变量变化检测的系统和方法，所述系统包括处理器，与处理器进行信号通信的能量排名单元，用于提取第一和第二图像的块系数，并响应于频率的系数计算能量差第一图像和第二图像之间的能量以及与处理器进行信号通信的分析能量差异并且如果能量差指示变化则检测场景变化的变化检测单元; 并且所述方法包括接收第一和第二图像，提取与第一和第二图像的频率能量相对应的块系数，计算第一和第二图像之间的至少一个频率能量的能量差，分析至少一个能量差并且如果能量差指示变化则检测场景变化。

17. 发明授权

US07260259B2 Image segmentation using statistical clustering with saddle point detection 有权
标题翻译：使用统计聚类与鞍点检测的图像分割
公开(公告)号：US07260259B2
公开(公告)日：2007-08-21
申请号：US10338335
申请日：2003-01-08
申请人： Dorin Comaniciu , Visvanathan Ramesh
发明人： Dorin Comaniciu , Visvanathan Ramesh
IPC分类号： G06K9/34
CPC分类号： G06K9/6226 , G06K9/342 , G06T7/11 , G06T7/143 , G06T2207/10016 , G06T2207/20164
摘要： A system and method for image segmentation using statistical clustering with saddle point detection includes representation means for representing the image data in a joint space of dimension d=r+2 that includes two special coordinates, where r=1 for gray-scale images, r=3 for color images, and r>3 for multi-spectral images; partitioning means for partitioning the data set comprising a plurality of image data points into a plurality of statistically meaningful clusters by decomposing the data set by a mean shift based data decomposition; and characterization means for characterizing the statistical significance of at least one of a plurality of clusters of data points by selecting a cluster and computing the value of a statistical measure for the saddle point lying on the border of the selected cluster and having the highest density.
摘要翻译：使用具有鞍点检测的统计聚类的图像分割的系统和方法包括用于在包括两个特殊坐标的维度d = r + 2的关节空间中表示图像数据的表示装置，其中对于灰度图像，r = 1 = 3为彩色图像，r> 3为多光谱图像; 分割装置，用于通过基于平均移位的数据分解来分解所述数据集，将包括多个图像数据点的数据集划分成多个统计意义上的集群; 以及表征装置，用于通过选择一个群集并计算位于所选择的群集边界并且具有最高密度的鞍点的统计度量的值来表征多个数据点集群中的至少一个的统计显着性。

18. 发明申请

US20050196045A1 Illumination invariant change detection 失效
标题翻译：照明不变变化检测
公开(公告)号：US20050196045A1
公开(公告)日：2005-09-08
申请号：US11066772
申请日：2005-02-25
申请人： Imad Zoghlami , Dorin Comaniciu , Visvanathan Ramesh
发明人： Imad Zoghlami , Dorin Comaniciu , Visvanathan Ramesh
IPC分类号： G06T7/40 , H04N5/14 , H04N7/50 , G06K9/46 , G06K9/00 , G06K9/66
CPC分类号： G06K9/00711 , G08B13/1961 , H04N19/142 , H04N19/48 , H04N19/61 , H04N19/87
摘要： A system and method for illumination invariant change detection are provided, the system including a processor, an energy ranking unit in signal communication with the processor for extracting block coefficients for the first and second images and computing an energy difference responsive to the coefficients for a frequency energy between the first and second images, and a change detection unit in signal communication with the processor for analyzing the energy difference and detecting a scene change if the energy difference is indicative of change; and the method including receiving first and second images, extracting block coefficients corresponding to frequency energies for the first and second images, computing an energy difference for at least one of the frequency energies between the first and second images, analyzing the at least one energy difference, and detecting a scene change if the energy difference is indicative of change.
摘要翻译：提供了一种用于照明不变量变化检测的系统和方法，所述系统包括处理器，与处理器进行信号通信的能量排名单元，用于提取第一和第二图像的块系数，并响应于频率的系数计算能量差第一图像和第二图像之间的能量以及与处理器进行信号通信的分析能量差异并且如果能量差指示变化则检测场景变化的变化检测单元; 并且所述方法包括接收第一和第二图像，提取与第一和第二图像的频率能量相对应的块系数，计算第一和第二图像之间的至少一个频率能量的能量差，分析至少一个能量差并且如果能量差指示变化则检测场景变化。

19. 发明授权

US06829391B2 Adaptive resolution system and method for providing efficient low bit rate transmission of image data for distributed applications 有权
标题翻译：用于为分布式应用提供图像数据的有效低比特率传输的自适应分辨率系统和方法
公开(公告)号：US06829391B2
公开(公告)日：2004-12-07
申请号：US09944316
申请日：2001-08-31
申请人： Dorin Comaniciu , Visvanathan Ramesh , Fabio Berton
发明人： Dorin Comaniciu , Visvanathan Ramesh , Fabio Berton
IPC分类号： G06K936
CPC分类号： G08B13/19667 , G06T9/001 , G08B13/19691
摘要： A client-server system and method that enables efficient, low bit rate transmission of image data over a network from an image server (e.g., active cameras) to a client for, e.g., distributed surveillance. A detection and tracking module detects a human presence within an observation area and provides 2-dimensional face coordinates and its estimated scale to a video transmission module. The captured video is then efficiently encoded in log-polar coordinates using an adaptive log-polar mapping, with a foveation point centered on the face. A fovea region, which covers the target object (face), is uniformly sampled and transmitted at full resolution to the client. The periphery region (background) is sampled according to a log-polar grid. To compensate for bit rate variations due to the changes in the scale of the target object and/or bandwidth of the communication channel, the resolution of the periphery region is modified through an adaptive log-polar mapping process, so as to maintain a virtually constant transmission rate from the server to the client. The high resolution of the data in the fovea region enables efficient recognition and/or identification of the transmitted video.
摘要翻译：一种客户机 - 服务器系统和方法，其能够通过网络从图像服务器（例如，主动照相机）到例如分布式监视的客户端的图像数据的有效，低比特率传输。检测和跟踪模块检测观察区域内的人类存在，并向视频传输模块提供二维面部坐标及其估计的尺度。然后使用自适应对数极坐标映射将拍摄的视频有效地编码在对数极坐标中，其中移动点以脸部为中心。覆盖目标物体（面）的中央凹区域被均匀地采样并以全分辨率传输给客户端。外围区域（背景）根据对数极化栅格进行采样。为了补偿由于目标对象的尺度的变化和/或通信信道的带宽引起的比特率变化，通过自适应对数极坐标映射处理来修改外围区域的分辨率，以保持实际上恒定从服务器到客户端的传输速率。中央凹区域中的数据的高分辨率使得能够有效地识别和/或识别所发送的视频。

20. 发明授权

US07764736B2 Real-time video object generation for smart cameras 有权
标题翻译：智能相机的实时视频对象生成
公开(公告)号：US07764736B2
公开(公告)日：2010-07-27
申请号：US11545153
申请日：2006-10-10
申请人： Dorin Comaniciu , Alessio Del Bue , Visvanathan Ramesh
发明人： Dorin Comaniciu , Alessio Del Bue , Visvanathan Ramesh
IPC分类号： H04N7/12 , G06K9/34
CPC分类号： H04N19/23 , H04N7/141 , H04N7/183 , H04N19/124 , H04N19/126 , H04N19/14 , H04N19/146 , H04N19/149 , H04N19/17 , H04N19/172 , H04N19/174 , H04N19/196 , H04N19/61
摘要： An apparatus and method for video object generation and selective encoding is provided. The apparatus includes a detection module for detecting a first object in at least one image frame of a series of image frames; a tracking module for tracking the first object in successive image frames and segmenting the first object from a background, the background being a second object; and an encoder for encoding the first and second objects to be transmitted to a receiver, wherein the first object is compressed at a high compression rate and the second object is compressed at a low compression rate. The receiver merges the first and second object to form a composite image frame. The method provides for detecting, tracking and segmenting one or more objects, such as a face, from a background to be encoded at the same or different compression rates to conserve bandwidth.
摘要翻译：提供了一种用于视频对象生成和选择性编码的装置和方法。该装置包括用于检测一系列图像帧的至少一个图像帧中的第一对象的检测模块; 跟踪模块，用于跟踪连续图像帧中的第一对象并从背景分割第一对象，背景是第二对象; 以及用于编码要发送到接收机的第一和第二对象的编码器，其中第一对象以高压缩率被压缩，并且第二对象以低压缩率被压缩。接收器合并第一和第二对象以形成合成图像帧。该方法提供用于以相同或不同的压缩率检测，跟踪和分割来自背景的一个或多个对象，例如面部，以节省带宽。

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