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1. 发明授权

US07437006B2 Error propogation and variable-bandwidth mean shift for feature space analysis 有权
标题翻译：特征空间分析误差传播和可变带宽平均偏移
公开(公告)号：US07437006B2
公开(公告)日：2008-10-14
申请号：US10382437
申请日：2003-03-06
申请人： Benedicte Bascle , Dorin Comaniciu , Anurag Mittal , Visvanathan Ramesh
发明人： Benedicte Bascle , Dorin Comaniciu , Anurag Mittal , Visvanathan Ramesh
IPC分类号： G06K9/62 , G06K9/74
CPC分类号： G06K9/4633 , G06K9/3233
摘要： The present invention comprises using error propagation for building feature spaces with variable uncertainty and using variable-bandwidth mean shift for the analysis of such spaces, to provide peak detection and space partitioning. The invention applies these techniques to construct and analyze Hough spaces for line and geometrical shape detection, as well as to detect objects that are represented by peaks in the Hough space. This invention can be further used for background modeling by taking into account the uncertainty of the transformed image color and uncertainty of the motion flow. Furthermore, the invention can be used to segment video data in invariant spaces, by propagating the uncertainty from the original space and using the variable-bandwidth mean shift to detect peaks. The invention can be used in a variety of applications such as medical, surveillance, monitoring, automotive, augmented reality, and inspection.
摘要翻译：本发明包括使用用于构建具有可变不确定性的特征空间的误差传播，并且使用可变带宽平均移位来分析这样的空间，以提供峰值检测和空间划分。本发明应用这些技术来构建和分析用于线和几何形状检测的霍夫空间，以及检测由霍夫空间中的峰表示的对象。通过考虑到变换图像颜色的不确定性和运动流的不确定性，本发明可以进一步用于背景建模。此外，本发明可以用于通过从原始空间传播不确定性并使用可变带宽平均偏移来检测峰值来在不变空间中分割视频数据。本发明可用于医疗，监视，监控，汽车，增强现实和检查等各种应用。

2. 发明申请

US20060142981A1 Statistical modeling and performance characterization of a real-time dual camera surveillance system 审中-公开
公开(公告)号：US20060142981A1
公开(公告)日：2006-06-29
申请号：US11360800
申请日：2006-02-23
申请人： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
发明人： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
IPC分类号： G06F17/10
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.

3. 发明授权

US07027643B2 Systems and methods for automatic scale selection in real-time imaging 有权
公开(公告)号：US07027643B2
公开(公告)日：2006-04-11
申请号：US10345131
申请日：2003-05-15
申请人： Dorin Comaniciu , Visvanathan Ramesh
发明人： Dorin Comaniciu , Visvanathan Ramesh
IPC分类号： G06K9/00
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.

4. 发明授权

US07006950B1 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：US07006950B1
公开(公告)日：2006-02-28
申请号：US09592532
申请日：2000-06-12
申请人： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
发明人： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
IPC分类号： G06F7/60 , G06F17/10 , G06F101/00
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。

5. 发明授权

US08060178B2 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：US08060178B2
公开(公告)日：2011-11-15
申请号：US12243199
申请日：2008-10-01
申请人： Xiang Zhou , Dorin Comaniciu , Alok Gupta , Visvanathan Ramesh , Bhavani Duggirala , Diane Paine
发明人： Xiang Zhou , Dorin Comaniciu , Alok Gupta , Visvanathan Ramesh , Bhavani Duggirala , Diane Paine
IPC分类号： A61B5/00
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。

6. 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。

7. 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。

8. 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.

9. 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。

10. 发明授权

US07881531B2 Error propogation and variable-bandwidth mean shift for feature space analysis 有权
标题翻译：特征空间分析误差传播和可变带宽平均偏移
公开(公告)号：US07881531B2
公开(公告)日：2011-02-01
申请号：US12198349
申请日：2008-08-26
申请人： Benedicte Bascle , Dorin Comaniciu , Anurag Mittal , Visvanathan Ramesh
发明人： Benedicte Bascle , Dorin Comaniciu , Anurag Mittal , Visvanathan Ramesh
IPC分类号： G06K9/34 , G06K9/00 , G06K9/62 , G06K9/68
CPC分类号： G06K9/4633 , G06K9/3233
摘要： The present invention comprises using error propagation for building feature spaces with variable uncertainty and using variable-bandwidth mean shift for the analysis of such spaces, to provide peak detection and space partitioning. The invention applies these techniques to construct and analyze Hough spaces for line and geometrical shape detection, as well as to detect objects that are represented by peaks in the Hough space. This invention can be further used for background modeling by taking into account the uncertainty of the transformed image color and uncertainty of the motion flow. Furthermore, the invention can be used to segment video data in invariant spaces, by propagating the uncertainty from the original space and using the variable-bandwidth mean shift to detect peaks. The invention can be used in a variety of applications such as medical, surveillance, monitoring, automotive, augmented reality, and inspection.
摘要翻译：本发明包括使用用于构建具有可变不确定性的特征空间的误差传播，并且使用可变带宽平均移位来分析这样的空间，以提供峰值检测和空间划分。本发明应用这些技术来构建和分析用于线和几何形状检测的霍夫空间，以及检测由霍夫空间中的峰表示的对象。通过考虑到变换图像颜色的不确定性和运动流的不确定性，本发明可以进一步用于背景建模。此外，本发明可以用于通过从原始空间传播不确定性并使用可变带宽平均偏移来检测峰值来在不变空间中分割视频数据。本发明可用于医疗，监视，监控，汽车，增强现实和检查等各种应用。

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