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21. 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.

22. 发明授权

US07006128B2 Object detection for sudden illumination changes using order consistency 有权
公开(公告)号：US07006128B2
公开(公告)日：2006-02-28
申请号：US10158632
申请日：2002-05-30
申请人： Binglong Xie , Visvanathan Ramesh , Terrance Boult
发明人： Binglong Xie , Visvanathan Ramesh , Terrance Boult
IPC分类号： H04N7/18
CPC分类号： G08B13/19604 , G06T7/254
摘要： A system and method for object detection with sudden illumination changes provides a system including a camera model unit for computing a difference map between a first input image and a second input image, an illumination model unit in signal communication with the camera model unit for comparing the sign of the difference between two pixels in a first input image against the sign of the difference between two pixels in a second input image, and a CPU in signal communication with the camera model unit and the illumination model unit for detecting a changed object in accordance with said comparison when said sign of the difference is changed; and a corresponding method including providing a first image having a number of pixels, receiving a second image subsequent to the first image, calculating a difference map between the first and second images, selecting a pair of pixel locations from the first or second images in accordance with the difference map, statistically modeling a camera noise level for the first and second images, computing the likelihood of order inconsistency between a pair of pixel values at the selected locations in the first image and a pair of pixel values at the selected locations in the second image in accordance with the camera noise level; and detecting a changed object in accordance with the computed likelihood.

23. 发明申请

US20050237390A1 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：US20050237390A1
公开(公告)日：2005-10-27
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： A61B5/05 , G06T5/50 , G06T7/00 , G06T7/20 , H04N7/18 , H04N9/47
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。

24. 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。

25. 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。

26. 发明授权

US07865019B2 On optimizing template matching via performance characterization 有权
标题翻译：通过性能表征优化模板匹配
公开(公告)号：US07865019B2
公开(公告)日：2011-01-04
申请号：US11493311
申请日：2006-07-26
申请人： Tony X. Han , Visvanathan Ramesh , Ying Zhu
发明人： Tony X. Han , Visvanathan Ramesh , Ying Zhu
IPC分类号： G06K9/62
CPC分类号： G06K9/6203 , G06T7/33 , G06T7/35
摘要： The performance of template matching is characterized by deriving the distribution of warp parameter estimate as a function of the ideal template, the ideal warp parameters and a given perturbation or noise model. An expression for the Probability Mass Function of the parameter estimate is provided. The optimal template size for template matching is the one that provides the best matching performance which is calculated from the minimum entropy of the parameter estimate.
摘要翻译：模板匹配的性能的特征在于导出作为理想模板的函数的翘曲参数估计的分布，理想的翘曲参数和给定的扰动或噪声模型。提供了参数估计的概率质量函数的表达式。模板匹配的最佳模板大小是根据参数估计的最小熵计算出的最佳匹配性能。

27. 发明授权

US07853042B2 Tunable kernels for tracking 有权
标题翻译：用于跟踪的可调内核
公开(公告)号：US07853042B2
公开(公告)日：2010-12-14
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： G06T7/20
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。

28. 发明申请

US20090226100A1 AUTOMATIC DESIGN OF MORPHOLOGICAL ALGORITHMS FOR MACHINE VISION 有权
标题翻译：用于机器视觉的形态学算法的自动设计
公开(公告)号：US20090226100A1
公开(公告)日：2009-09-10
申请号：US11744925
申请日：2007-05-07
申请人： Xiang Gao , Visvanathan Ramesh , Terrance E. Boult
发明人： Xiang Gao , Visvanathan Ramesh , Terrance E. Boult
IPC分类号： G06K9/62
CPC分类号： G06K9/325 , G06K9/6217
摘要： The present invention provides a technique for automated selection of a parameterized operator sequence to achieve a pattern classification task. A collection of labeled data patterns is input and statistical descriptions of the inputted labeled data patterns are then derived. Classifier performance for each of a plurality of candidate operator/parameter sequences is determined. The optimal classifier performance among the candidate classifier performances is then identified. Performance metric information, including, for example, the selected operator sequence/parameter combination, will be outputted. The operator sequences selected can be chosen from a default set of operators, or may be a user-defined set. The operator sequences may include any morphological operators, such as, erosion, dilation, closing, opening, close-open, and open-close.
摘要翻译：本发明提供一种用于自动选择参数化运算符序列以实现模式分类任务的技术。输入标记数据模式的集合，然后导出输入的标记数据模式的统计描述。确定多个候选操作员/参数序列中的每一个的分类器性能。然后识别候选分类器性能中的最优分类器性能。将输出包括例如所选择的操作员序列/参数组合的性能度量信息。选择的操作员序列可以从默认操作符集中选择，或者可以是用户定义的集合。运算符序列可以包括任何形态学运算符，例如侵蚀，扩张，关闭，打开，闭合和开 - 关。

29. 发明授权

US07574019B2 Method for scene modeling and change detection 有权
标题翻译：场景建模和变化检测方法
公开(公告)号：US07574019B2
公开(公告)日：2009-08-11
申请号：US11943945
申请日：2007-11-21
申请人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh , Antoine Monnet
发明人： Anurag Mittal , Nikolaos Paragios , Visvanathan Ramesh , Antoine Monnet
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06K9/38 , G06K9/6247 , G06T7/269
摘要： A method for dynamic scene modeling and change detection applicable to motion analysis utilizes optical flow for capturing and modeling the dynamics of the scene. Uncertainties in the measurements are evaluated and utilized in order to develop a robust representation of the scene in a higher dimensional space. In another embodiment, a dynamical model of the scene is developed that utilizes multiple past frames to predict the next frame. Incremental methods for updating the model are developed and, towards detection of events, a new measure is introduced that is based on a state-driven comparison between the prediction and the actual observation.
摘要翻译：适用于运动分析的动态场景建模和变化检测的方法利用光流来捕获和建模场景的动力学。评估和利用测量中的不确定性，以便在更高维度空间中开发场景的鲁棒表示。在另一个实施例中，开发了利用多个过去帧来预测下一帧的场景的动态模型。开发了用于更新模型的增量方法，并且为了检测事件，引入了基于预测与实际观察之间的状态驱动比较的新措施。

30. 发明申请

US20090034793A1 Fast Crowd Segmentation Using Shape Indexing 失效
标题翻译：使用形状索引快速人群分割
公开(公告)号：US20090034793A1
公开(公告)日：2009-02-05
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 , G06K9/34
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）。

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