公开(公告)号：US06956573B1

公开(公告)日：2005-10-18

申请号：US08970889

申请日：1997-11-14

Applicant: James Russell Bergen ,  Curtis R. Carlson ,  Rakesh Kumar ,  Harpreet S. Sawhney

Inventor： James Russell Bergen ,  Curtis R. Carlson ,  Rakesh Kumar ,  Harpreet S. Sawhney

IPC: G06F17/30 ,  G06T15/00 ,  G11B27/10 ,  G11B27/28 ,  G11B27/34 ,  H04N7/173

CPC classification number: G06F17/30802 ,  G06F17/30808 ,  G06F17/30817 ,  G06F17/30843 ,  G11B27/105 ,  G11B27/28 ,  G11B27/34 ,  H04N5/91 ,  H04N7/17318 ,  H04N9/8205 ,  H04N9/8227 ,  H04N21/44008 ,  H04N21/440227 ,  H04N21/47202 ,  H04N21/4828 ,  H04N21/8153 ,  H04N21/8456

Abstract: A method and concomitant apparatus for comprehensively representing video information in a manner facilitating indexing of the video information. Specifically, a method according to the inveniton comprises the steps of dividing a continuous video stream into a plurality of video scenes; and at least one of the steps of dividing, using intra-scene motion analysis, at least one of the plurality of scenes into one or more layers; representing, as a mosaic, at least one of the pluraliy of scenes; computing, for at least one layer or scene, one or more content-related appearance attributes; and storing, in a database, the content-related appearance attributes or said mosaic representations.

Abstract translation: 一种用于以便于索引视频信息的方式全面地表示视频信息的方法和伴随装置。 具体地，根据本发明的方法包括将连续视频流分割成多个视频场景的步骤; 以及将所述多个场景中的至少一个划分为一个或多个层的步骤中的至少一个步骤; 作为马赛克代表多个场景中的至少一个; 对于至少一个层或场景，计算一个或多个内容相关的外观属性; 以及在数据库中存储与内容相关的外观属性或所述马赛克表示。

公开(公告)号：US20050154168A1

公开(公告)日：2005-07-14

申请号：US11007863

申请日：2004-12-09

Applicant: Porter Shannon ,  Rakesh Kumar ,  Pradeep Shirodkar ,  Fred Ehrman ,  Mark Davis ,  Keith Trapp ,  Dongming Li

Inventor： Porter Shannon ,  Rakesh Kumar ,  Pradeep Shirodkar ,  Fred Ehrman ,  Mark Davis ,  Keith Trapp ,  Dongming Li

IPC: C08F210/16 ,  C08L23/08 ,  C08F10/00

CPC classification number: C08L23/0815 ,  C08F210/16 ,  C08L2205/02 ,  C08L2205/025 ,  C08L2666/06 ,  C08F210/08 ,  C08F2500/12 ,  C08F2500/02 ,  C08F2500/01 ,  C08F2500/05 ,  C08F2500/26

Abstract: A film comprising a polyethylene composition, the polyethylene composition in one embodiment comprising a high molecular weight component having a weight average molecular weight of greater than 50,000 amu and a low molecular weight component having a weight average molecular weight of less than 50,000 amu; the polyethylene composition possessing a density of between 0.940 and 0.970 g/cm3, and an I21 value of less than 20 dg/min; characterized in that the polyethylene composition extrudes at an advantageously high specific throughput at an advantageously low melt temperature, and wherein the film has a gel count of less than 100.

Abstract translation: 一种包含聚乙烯组合物的膜，一个实施方案中的聚乙烯组合物包含重均分子量大于50,000amu的高分子量组分和重均分子量小于50,000amu的低分子量组分; 所述聚乙烯组合物具有0.940至0.970g / cm 3的密度和小于20dg / min的I 21 N值; 其特征在于，所述聚乙烯组合物在有利的低熔融温度下以有利的高比生产量挤出，并且其中所述膜的凝胶计数小于100。

公开(公告)号：US20050095241A1

公开(公告)日：2005-05-05

申请号：US10927644

申请日：2004-08-26

Applicant: Ratna Vadlamudi ,  Rakesh Kumar ,  Seetharaman Balasenthil

Inventor： Ratna Vadlamudi ,  Rakesh Kumar ,  Seetharaman Balasenthil

IPC: A61K20060101 ,  A61K38/00 ,  A61K39/395 ,  A61K48/00 ,  C07K2/00 ,  C07K4/00 ,  C07K5/00 ,  C07K7/00 ,  C07K14/00 ,  C07K14/47 ,  C07K14/72 ,  C07K16/00 ,  C07K16/28 ,  C07K17/00 ,  C12N15/113

CPC classification number: C07K14/4705 ,  C12N15/113 ,  C12N2310/14

Abstract: The present disclosure relates to the field of cellular tumorigenesis and cancer biology. More specifically, the present disclosure relates to tumorigenesis and cancer in estrogen-responsive cell types, including cell types such as testis, ovary and uterine tissues, mammary gland, brain, skeletal muscle, and lung tissues. The present disclosure further relates to compositions including polypeptides, oligopeptides, petidomimetics, antibodies, and nucleic acids, and pharmaceutical compositions, diagnostic kits, and therapeutic kits useful in the diagnosis or treatment of tumorigenesis in estrogen-responsive cell types.

Abstract translation: 本公开涉及细胞肿瘤发生和癌症生物学领域。 更具体地，本公开涉及在雌激素反应性细胞类型中的肿瘤发生和癌症，包括诸如睾丸，卵巢和子宫组织，乳腺，脑，骨骼肌和肺组织的细胞类型。 本公开还涉及包含多肽，寡肽，比模拟物，抗体和核酸的组合物，以及可用于诊断或治疗雌激素反应性细胞类型的肿瘤发生的药物组合物，诊断试剂盒和治疗试剂盒。

公开(公告)号：US06879705B1

公开(公告)日：2005-04-12

申请号：US09615971

申请日：2000-07-14

Applicant: Hai Tao ,  Rakesh Kumar ,  Harpreet Singh Sawhney

Inventor： Hai Tao ,  Rakesh Kumar ,  Harpreet Singh Sawhney

IPC: G06K9/00 ,  G06T7/20

CPC classification number: G06T7/20

Abstract: A method and apparatus for tracking multiple objects in a video sequence. The method defines a group of objects as a configuration, selects a configuration for a current video frame, predicts a configuration using a two-level process and computes the likelihood of the configuration. Using this method in an iterative manner on a sequence of frames, tracks the object group through the sequence.

Abstract translation: 一种用于跟踪视频序列中的多个对象的方法和装置。 该方法将一组对象定义为配置，为当前视频帧选择配置，使用两级进程预测配置，并计算配置的可能性。 在一系列帧上以迭代的方式使用此方法，通过序列跟踪对象组。

公开(公告)号：US20050024206A1

公开(公告)日：2005-02-03

申请号：US10872964

申请日：2004-06-21

Applicant: Supun Samarasekera ,  Rakesh Kumar ,  Keith Hanna ,  Harpreet Sawhney ,  Aydin Arpa ,  Manoj Aggarwal ,  Vincent Paragano

Inventor： Supun Samarasekera ,  Rakesh Kumar ,  Keith Hanna ,  Harpreet Sawhney ,  Aydin Arpa ,  Manoj Aggarwal ,  Vincent Paragano

IPC: G08B13/00 ,  H04N20060101 ,  H04N7/18

CPC classification number: G08B13/19689 ,  G08B13/19645 ,  G08B13/19691

Abstract: A scalable architecture for providing real-time multi-camera distributed video processing and visualization. An exemplary system comprises at least one video capture and storage system for capturing and storing a plurality of input videos, at least one vision based alarm system for detecting and reporting alarm situations or events, and at least one video rendering system (e.g., a video flashlight system) for displaying an alarm situation in a context that speeds up comprehension and response. One advantage of the present architecture is that these systems are all scalable, such that additional sensors (e.g., cameras, motion sensors, infrared sensors, chemical sensors, biological sensors, temperature sensors and like) can be added in large numbers without overwhelming the ability of security forces to comprehend the alarm situation.

Abstract translation: 用于提供实时多摄像机分布式视频处理和可视化的可扩展架构。 示例性系统包括用于捕获和存储多个输入视频的至少一个视频捕获和存储系统，用于检测和报告警报情况或事件的至少一个基于视觉的警报系统，以及至少一个视频呈现系统（例如，视频 手电筒系统），用于在加速理解和响应的上下文中显示报警情况。 本架构的一个优点是这些系统都是可扩展的，使得可以大量添加附加的传感器（例如，摄像机，运动传感器，红外传感器，化学传感器，生物传感器，温度传感器等），而不会压倒能力 的安全部队了解报警情况。

公开(公告)号：US06597818B2

公开(公告)日：2003-07-22

申请号：US09803700

申请日：2001-03-09

Applicant: Rakesh Kumar ,  Stephen Charles Hsu ,  Keith Hanna ,  Supun Samarasekera ,  Richard Patrick Wildes ,  David James Hirvonen ,  Thomas Edward Klinedinst ,  William Brian Lehman ,  Bodgan Matei ,  Wenyi Zhao ,  Barbara Levienaise-Obadia

Inventor： Rakesh Kumar ,  Stephen Charles Hsu ,  Keith Hanna ,  Supun Samarasekera ,  Richard Patrick Wildes ,  David James Hirvonen ,  Thomas Edward Klinedinst ,  William Brian Lehman ,  Bodgan Matei ,  Wenyi Zhao ,  Barbara Levienaise-Obadia

IPC: G06K932

CPC classification number: G06T3/4038 ,  G06T3/0081 ,  G06T7/35 ,  Y10S707/99943

Abstract: A system and method for accurately mapping between image coordinates and geo-coordinates, called geo-spatial registration. The system utilizes the imagery and terrain information contained in the geo-spatial database to precisely align geodetically calibrated reference imagery with an input image, e.g., dynamically generated video images, and thus achieve a high accuracy identification of locations within the scene. When a sensor, such as a video camera, images a scene contained in the geo-spatial database, the system recalls a reference image pertaining to the imaged scene. This reference image is aligned very accurately with the sensor's images using a parametric transformation. Thereafter, other information that is associated with the reference image can easily be overlaid upon or otherwise associated with the sensor imagery.

Abstract translation: 用于在图像坐标和地理坐标之间精确映射的系统和方法，称为地理空间注册。 该系统利用包含在地理空间数据库中的图像和地形信息来精确地对准地质学校准的参考图像与输入图像，例如动态生成的视频图像，从而实现对场景内部的位置的高精确度识别。 当诸如摄像机的传感器对包含在地理空间数据库中的场景进行成像时，系统调用与成像场景相关的参考图像。 该参考图像使用参数变换与传感器的图像非常准确地对齐。 此后，与参考图像相关联的其他信息可以容易地覆盖在传感器图像上或以其他方式与传感器图像相关联。

公开(公告)号：US06571024B1

公开(公告)日：2003-05-27

申请号：US09336319

申请日：1999-06-18

Applicant: Harpreet Singh Sawhney ,  Rakesh Kumar ,  Yanlin Guo ,  Jane Asmuth ,  Keith James Hanna

Inventor： Harpreet Singh Sawhney ,  Rakesh Kumar ,  Yanlin Guo ,  Jane Asmuth ,  Keith James Hanna

IPC: G06K932

CPC classification number: G06T7/248 ,  G06T7/246 ,  G06T2207/10016 ,  G06T2207/30244

Abstract: An apparatus and method for generating automated multi-view three dimensional pose and geometry estimation for the insertion of realistic and authentic views of synthetic objects into a real scene. A multi-view three dimensional estimation routine comprising the steps of feature tracking, pairwise camera pose estimation, computing camera pose for overlapping sequences and performing a global block adjustment to provide camera pose and scene geometric information for each frame of a scene. A match move routine may be used to insert a synthetic object into one frame of a video sequence based on the pose and geometric information of the frame, and calculate all other required object views of the synthetic object for the remaining frames using the pose and geometric information acquired as a result of the multi-view three dimensional estimation routine.

Abstract translation: 一种用于产生用于将合成对象的真实和真实视图插入到真实场景中的自动多视图三维姿态和几何估计的装置和方法。 一种多视图三维估计程序，包括特征跟踪，配对摄像机姿态估计，重叠序列的计算摄像机姿态，以及执行全局块调整以为场景的每个帧提供摄像机姿态和场景几何信息的步骤。 可以使用匹配移动例程来基于帧的姿态和几何信息将合成对象插入到视频序列的一帧中，并且使用姿态和几何来计算剩余帧的合成对象的所有其他所需对象视图 作为多视图三维估计程序的结果获取的信息。

公开(公告)号：US06353678B1

公开(公告)日：2002-03-05

申请号：US09614690

申请日：2000-07-13

Applicant: Yanlin Guo ,  Rakesh Kumar ,  Harpreet Sawhney

Inventor： Yanlin Guo ,  Rakesh Kumar ,  Harpreet Sawhney

IPC: G06K900

CPC classification number: G06K9/209 ,  G06T7/285

Abstract: A system and method that detects independently moving objects in 3D scenes which are viewed under camera motion progressively applies constraints to the images to ensure the stability of the constraints. The system first calculates 2D view geometry constraints for a set of images. These constraints are tested to determine if the imaged scene exhibits significant 3D characteristics. If it does, then 3D shape constraints, are applied to the set of images. The 3D shape constraints are themselves constrained by the 2D view geometry constraints. The set of images is then tested to identify areas that are inconsistent with the 2D or 3D constraints. These areas correspond to the moving objects. The 2D view geometry constraints are calculated by computing a dominant image alignment for successive pairs of images and then computing constrained epipolar transformations for the two image pairs. This 2D view geometry is further refined based on a plurality of target point correspondences among the plurality of frames. The epipolar geometry for the point correspondence having a minimum median error is selected as the 2D view geometry of the scene. The 3D shape constraint is a parallax geometry that is calculated by iteratively minimizing errors in a parametric alignment of the images using an estimated parallax geometry.

Abstract translation: 检测在相机运动中观看的3D场景中的独立运动物体的系统和方法逐渐对图像施加约束以确保约束的稳定性。 系统首先计算一组图像的2D视图几何约束。 测试这些约束以确定成像的场景是否显示出显着的3D特征。 如果是，则3D形状约束被应用于图像集合。 3D形状约束本身受2D视图几何约束的限制。 然后测试该组图像以识别与2D或3D约束不一致的区域。 这些区域对应于移动物体。 通过计算连续图像对的主要图像对准，然后计算两个图像对的受限的对极变换来计算2D视图几何约束。 基于多个帧中的多个目标点对应关系进一步改进该2D视图几何。 选择具有最小中值误差的点对应的对极几何作为场景的2D视图几何。 3D形状约束是通过使用估计的视差几何迭代地最小化图像的参数对齐中的误差来计算的视差几何。

公开(公告)号：US06269175B1

公开(公告)日：2001-07-31

申请号：US09384118

申请日：1999-08-27

Applicant: Keith James Hanna ,  Rakesh Kumar ,  James Russell Bergen ,  Harpreet Singh Sawhney ,  Jeffrey Lubin

Inventor： Keith James Hanna ,  Rakesh Kumar ,  James Russell Bergen ,  Harpreet Singh Sawhney ,  Jeffrey Lubin

IPC: G06K936

CPC classification number: G06T7/55 ,  G06T5/50 ,  G06T2207/10012 ,  H04N13/111 ,  H04N13/15 ,  H04N13/189 ,  H04N13/239 ,  H04N13/243 ,  H04N13/246 ,  H04N13/25 ,  H04N13/286 ,  H04N13/296 ,  H04N2013/0081

Abstract: A method and apparatus for accurately computing parallax information as captured by imagery of a scene. The method computes the parallax information of each point in an image by computing the parallax within windows that are offset with respect to the point for which the parallax is being computed. Additionally, parallax computations are performed over multiple frames of imagery to ensure accuracy of the parallax computation and to facilitate correction of occluded imagery.

Abstract translation: 一种用于准确地计算由场景的图像捕获的视差信息的方法和装置。 该方法通过计算相对于计算视差的点偏移的窗口内的视差来计算图像中每个点的视差信息。 另外，在多个图像帧上执行视差计算，以确保视差计算的准确性并且有利于闭塞图像的校正。

公开(公告)号：US06173087B2

公开(公告)日：2001-01-09

申请号：US08966776

申请日：1997-11-10

Applicant: Rakesh Kumar ,  Harpreet Singh Sawhney ,  James Russell Bergen

Inventor： Rakesh Kumar ,  Harpreet Singh Sawhney ,  James Russell Bergen

IPC: G06K936

CPC classification number: G06K9/32 ,  G06K2009/2045 ,  G06T3/0081 ,  G06T3/4038 ,  H04N19/23 ,  H04N19/597

Abstract: An embodiment of the invention is a system and process for true multi-image alignment that does not rely on the measurements of a reference image being distortion free. For instance, lens distortion is a common imaging phenomenon. When lens distortion is present, none of the images can be assumed to be ideal. In an embodiment of the invention, all the images are modeled as intensity measurements represented in their respective coordinate systems, each of which is related to a reference coordinate system through an interior camera transformation and an exterior view transformation. Motion parameters determined in accordance with an embodiment of the invention dictate the position of the input frames within the reference frame. A reference coordinate system is used, but not a reference image. Motion parameters are computed to warp all input images to a virtual image mosaic in the reference coordinate system of the reference frame. Each pixel in the virtual image mosaic may be predicted by intensities at corresponding pixel positions from more than one image. The error measure, which is the sum of the variances of predicted pixel intensities at each pixel location summed over the virtual image mosaic, is minimized. The embodiment of the invention advantageously maximally uses information present in all images.

Abstract translation: 本发明的实施例是用于真正的多图像对准的系统和过程，其不依赖于无失真的参考图像的测量。 例如，镜头失真是常见的成像现象。 当存在透镜失真时，不能假定图像是理想的。 在本发明的一个实施例中，所有图像被建模为在它们各自的坐标系中表示的强度测量值，每个坐标系统通过内部照相机变换和外部视图变换与参考坐标系相关。 根据本发明的实施例确定的运动参数指示输入框在参考框架内的位置。 使用参考坐标系，而不是参考图像。 计算运动参数以将所有输入图像扭曲成参考框架的参考坐标系中的虚拟图像马赛克。 可以通过来自多于一个图像的相应像素位置处的强度来预测虚拟图像镶嵌中的每个像素。 误差测量值是在虚拟图像镶嵌中相加的每个像素位置处的预测像素强度的方差之和。 本发明的实施例有利地最大限度地利用存在于所有图像中的信息。