-
公开(公告)号：US08212812B2
公开(公告)日：2012-07-03
申请号：US12122800
申请日：2008-05-19
Applicant: Yanghai Tsin , Yakup Genc , Visvanathan Ramesh
Inventor： Yanghai Tsin , Yakup Genc , Visvanathan Ramesh
IPC: G06T17/00
CPC classification number: G06K9/6209 , G06F17/5095 , G06K9/3241 , G06K2209/23 , G06T17/00 , G06T19/20 , G06T2210/44 , G06T2219/2021
Abstract: A method for modeling a vehicle, includes: receiving an image that includes a vehicle; and constructing a three-dimensional (3D) model of the vehicle, wherein the 3D model is constructed by: (a) taking a predetermined set of base shapes that are extracted from a subset of vehicles; (b) multiplying each of the base shapes by a parameter; (c) adding the resultant of each multiplication to form a vector that represents the vehicle's shape; (d) fitting the vector to the vehicle in the image; and (e) repeating steps (a)-(d) by modifying the parameters until a difference between a fit vector and the vehicle in the image is minimized.
Abstract translation: 一种用于建模车辆的方法，包括：接收包括车辆的图像; 以及构建所述车辆的三维（3D）模型，其中所述3D模型通过以下方式构造：（a）获取从车辆子集提取的预定的一组基本形状; （b）将每个基本形状乘以参数; （c）将每个乘法的结果相加以形成表示车辆形状的矢量; （d）将矢量拟合到图像中的车辆; 和（e）通过修改参数来重复步骤（a） - （d），直到图像中的拟合向量和车辆之间的差最小化。
-
公开(公告)号：US07593547B2
公开(公告)日：2009-09-22
申请号：US11245391
申请日：2005-10-06
Applicant: Anurag Mittal , Imad Zoghlami , Visvanathan Ramesh
Inventor： Anurag Mittal , Imad Zoghlami , Visvanathan Ramesh
IPC: G06K9/00
CPC classification number: G08B13/19613 , G06T7/254
Abstract: A method and system for video-based encroachment detection are provided, the method including receiving first and second images, modeling a background from the first image, subtracting the background from the second image to provide a detection map, calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map using dynamic programming, and detecting the object in a region if the projection matches that region of the detection map; and the system including a processor, a background modeling unit coupled with the processor for modeling a background from the first image and subtracting the background from the second image to provide a detection map, and a dynamic programming unit coupled with the processor for calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map, and detecting the object in a region if the projection matches that region of the detection map.
Abstract translation: 提供了一种用于基于视频的侵入检测的方法和系统，所述方法包括接收第一和第二图像，从第一图像建模背景，从第二图像中减去背景以提供检测图，校准物体的大小 像素级，使用动态规划将对象的投影与检测图集成，如果投影与检测图的区域匹配，则检测区域中的对象; 并且所述系统包括处理器，与所述处理器耦合的背景建模单元，用于对来自所述第一图像的背景进行建模并从所述第二图像减去所述背景以提供检测图;以及动态编程单元，与所述处理器耦合以校准所述尺寸 从像素级别的对象，将对象的投影与检测图集成，以及如果投影匹配检测图的区域，则检测区域中的对象。
-
公开(公告)号：US20080294401A1
公开(公告)日：2008-11-27
申请号：US12122800
申请日：2008-05-19
Applicant: Yanghai Tsin , Yakup Genc , Visvanathan Ramesh
Inventor： Yanghai Tsin , Yakup Genc , Visvanathan Ramesh
CPC classification number: G06K9/6209 , G06F17/5095 , G06K9/3241 , G06K2209/23 , G06T17/00 , G06T19/20 , G06T2210/44 , G06T2219/2021
Abstract: A method for modeling a vehicle, includes: receiving an image that includes a vehicle; and constructing a three-dimensional (3D) model of the vehicle, wherein the 3D model is constructed by: (a) taking a predetermined set of base shapes that are extracted from a subset of vehicles; (b) multiplying each of the base shapes by a parameter; (c) adding the resultant of each multiplication to form a vector that represents the vehicle's shape; (d) fitting the vector to the vehicle in the image; and (e) repeating steps (a)-(d) by modifying the parameters until a difference between a fit vector and the vehicle in the image is minimized.
Abstract translation: 一种用于建模车辆的方法，包括：接收包括车辆的图像; 以及构建所述车辆的三维（3D）模型，其中所述3D模型通过以下方式构造：（a）获取从车辆子集提取的预定的一组基本形状; （b）将每个基本形状乘以参数; （c）将每个乘法的结果相加以形成表示车辆形状的矢量; （d）将矢量拟合到图像中的车辆; 和（e）通过修改参数来重复步骤（a） - （d），直到图像中的拟合向量和车辆之间的差最小化。
-
4.发明授权Error propogation and variable-bandwidth mean shift for feature space analysis 有权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
Applicant: Benedicte Bascle , Dorin Comaniciu , Anurag Mittal , Visvanathan Ramesh
Inventor： Benedicte Bascle , Dorin Comaniciu , Anurag Mittal , Visvanathan Ramesh
CPC classification number: G06K9/4633 , G06K9/3233
Abstract: 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.
Abstract translation: 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。
-
5.发明授权System and methods for determining nonuniformity correction parameters in detector-array imaging 有权用于确定检测器阵列成像中不均匀性校正参数的系统和方法公开(公告)号：US07294817B2
公开(公告)日：2007-11-13
申请号：US11122568
申请日：2005-05-05
Applicant: Matthias Voigt , Martin Zarzycki , Hans-Gerd Brummel , Dennis H. Lemieux , Visvanathan Ramesh
Inventor： Matthias Voigt , Martin Zarzycki , Hans-Gerd Brummel , Dennis H. Lemieux , Visvanathan Ramesh
IPC: H01L27/00
CPC classification number: H04N5/367 , H04N5/33 , H04N5/3656
Abstract: An imaging system (110) for imaging a scene with a detector array (104) having an array of imaging elements is provided. The imaging system (110) includes an image estimation module (202) for generating a plurality estimates of uncorrupted images based upon a plurality of noisy images generated by the detector array (104). The imaging system (110) further includes a parameter determination module (204) for determining one or more nonuniformity correction parameters based upon the estimates of uncorrupted images.
Abstract translation: 提供一种用于利用具有成像元件阵列的检测器阵列（104）对场景成像的成像系统（110）。 成像系统（110）包括图像估计模块（202），用于基于由检测器阵列（104）生成的多个噪声图像来生成未损坏图像的多个估计。 成像系统（110）还包括参数确定模块（204），用于基于未破坏的图像的估计来确定一个或多个不均匀性校正参数。
-
Patent Agency Ranking
6.发明申请公开(公告)号：US20060142981A1
公开(公告)日：2006-06-29
申请号：US11360800
申请日：2006-02-23
Applicant: Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
Inventor： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
IPC: G06F17/10
CPC classification number: 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
Abstract: 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.
-
公开(公告)号：US07027643B2
公开(公告)日：2006-04-11
申请号：US10345131
申请日：2003-05-15
Applicant: Dorin Comaniciu , Visvanathan Ramesh
Inventor： Dorin Comaniciu , Visvanathan Ramesh
IPC: G06K9/00
CPC classification number: G06K9/42 , G06K9/6226 , G06K9/6298 , G06K2209/01 , G06T7/13 , G06T7/90 , G06T2207/20016 , G06T2207/20048
Abstract: 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.
-
8.发明授权公开(公告)号：US07006950B1
公开(公告)日：2006-02-28
申请号：US09592532
申请日：2000-06-12
Applicant: Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
Inventor： Michael Greiffenhagen , Visvanathan Ramesh , Dorin Comaniciu
IPC: G06F7/60 , G06F17/10 , G06F101/00
CPC classification number: 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
Abstract: 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.
Abstract translation: 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。
-
公开(公告)号：US20050180603A1
公开(公告)日：2005-08-18
申请号：US11042694
申请日：2005-01-25
Applicant: Imad Zoghlami , Visvanathan Ramesh , Nikolaos Paragios
Inventor： Imad Zoghlami , Visvanathan Ramesh , Nikolaos Paragios
CPC classification number: G06K9/00771 , G06T7/254
Abstract: A method for detecting events in a video sequence includes providing a video sequence, sampling the video sequence at regular intervals to form a series of snapshots of the sequence, measuring a similarity of each snapshot, measuring a similarity change between successive pairs of snapshots, wherein if a similarity change magnitude is greater than a predetermined threshold, a change event has been detected, verifying the change event to exclude a false positive, and completing the processing of the snapshot incorporating the verified change event.
Abstract translation: 用于检测视频序列中的事件的方法包括提供视频序列，以规则的间隔对视频序列进行采样以形成序列的一系列快照，测量每个快照的相似度，测量连续的快照对之间的相似性改变，其中 如果相似度变化幅度大于预定阈值，则检测到改变事件，验证改变事件以排除假阳性，并且完成并入验证的改变事件的快照的处理。
-
10.发明授权Error propogation and variable-bandwidth mean shift for feature space analysis 有权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
Applicant: Benedicte Bascle , Dorin Comaniciu , Anurag Mittal , Visvanathan Ramesh
Inventor： Benedicte Bascle , Dorin Comaniciu , Anurag Mittal , Visvanathan Ramesh
CPC classification number: G06K9/4633 , G06K9/3233
Abstract: 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.
Abstract translation: 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。
-
-
-
-
-
-
-
-
-
Search Results
74
records
(took 0.022 seconds)
