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21. 发明申请

US20120027249A1 Multispectral Detection of Personal Attributes for Video Surveillance 失效
标题翻译：用于视频监控的个人属性的多光谱检测
公开(公告)号：US20120027249A1
公开(公告)日：2012-02-02
申请号：US12845121
申请日：2010-07-28
申请人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
发明人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
IPC分类号： G06K9/00
CPC分类号： G06K9/00624 , G06K9/00771 , G06K9/2018 , G06K9/4614 , G06K9/6256
摘要： Techniques for detecting an attribute in video surveillance include generating training sets of multispectral images, generating a group of multispectral box features comprising receiving input of a detector size of a width and height, a number of spectral bands in the multispectral images, and integer values representing a minimum and maximum width and height of multispectral box features, fixing a feature width and to height, generating feature building blocks with the fixed width and height, placing a feature building block at a same location for each spectral band level, and enumerating combinations of the feature building blocks through each spectral level until all sizes within the integer values have been covered, and wherein each combination determines a multispectral box feature, using the training sets to select multispectral box features to generate a multispectral attribute detector, and using the multispectral attribute detector to identify a location of an attribute in video surveillance.
摘要翻译：用于检测视频监控中的属性的技术包括生成多光谱图像的训练集，生成一组多光谱特征，包括接收宽度和高度的检测器大小的输入，多光谱图像中的光谱带的数量，以及表示多光谱盒特征的最小和最大宽度和高度，固定特征宽度和高度，生成具有固定宽度和高度的特征构建块，将特征构建块放置在每个光谱带级的相同位置，并列举特征构成块通过每个光谱级别直到整数值中的所有尺寸已经被覆盖，并且其中每个组合确定多光谱特征，使用训练集来选择多光谱特征以产生多光谱属性检测器，并且使用多光谱属性检测器，以识别vi中属性的位置 deo监视。

22. 发明授权

US09134399B2 Attribute-based person tracking across multiple cameras 有权
标题翻译：基于属性的人员跟踪多台摄像机
公开(公告)号：US09134399B2
公开(公告)日：2015-09-15
申请号：US12845119
申请日：2010-07-28
申请人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
发明人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
IPC分类号： H04N7/18 , G01S5/16 , G06K9/00 , G06T7/20
CPC分类号： G01S5/16 , G06K9/00295 , G06T7/292 , G06T2207/20016 , G06T2207/20081 , G06T2207/30196 , G06T2207/30232
摘要： Techniques for tracking an individual across two or more cameras are provided. The techniques include detecting an image of one or more individuals in each of two or more cameras, tracking each of the one or more individuals in a field of view in each of the two or more cameras, applying a set of one or more attribute detectors to each of the one or more individuals being tracked by the two or more cameras, and using the set of one or more attribute detectors to match an individual tracked in one of the two or more cameras with an individual tracked in one or more other cameras of the two or more cameras.
摘要翻译：提供了用于跟踪两个或多个摄像机上的个人的技术。这些技术包括检测两个或更多个相机中的每一个中的一个或多个个体的图像，跟踪两个或更多个相机中的每一个中的视场中的一个或多个个体中的每一个，应用一组一个或多个属性检测器由一个或多个摄像机跟踪的一个或多个个体中的每一个，并且使用一组一个或多个属性检测器将两个或多个摄像机之一中跟踪的个体与在一个或多个其他摄像机中跟踪的个体相匹配的两个或更多相机。

23. 发明申请

US20120026335A1 Attribute-Based Person Tracking Across Multiple Cameras 有权
标题翻译：跨多个摄像机的基于属性的人员跟踪
公开(公告)号：US20120026335A1
公开(公告)日：2012-02-02
申请号：US12845119
申请日：2010-07-28
申请人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
发明人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
IPC分类号： H04N7/18 , G06K9/00
CPC分类号： G01S5/16 , G06K9/00295 , G06T7/292 , G06T2207/20016 , G06T2207/20081 , G06T2207/30196 , G06T2207/30232
摘要： Techniques for tracking an individual across two or more cameras are provided. The techniques include detecting an image of one or more individuals in each of two or more cameras, tracking each of the one or more individuals in a field of view in each of the two or more cameras, applying a set of one or more attribute detectors to each of the one or more individuals being tracked by the two or more cameras, and using the set of one or more attribute detectors to match an individual tracked in one of the two or more cameras with an individual tracked in one or more other cameras of the two or more cameras.
摘要翻译：提供了用于跟踪两个或多个摄像机上的个人的技术。这些技术包括检测两个或更多个相机中的每一个中的一个或多个个体的图像，跟踪两个或更多个相机中的每一个中的视场中的一个或多个个体中的每一个，应用一组一个或多个属性检测器由一个或多个摄像机跟踪的一个或多个个体中的每一个，并且使用一组一个或多个属性检测器将两个或多个摄像机之一中跟踪的个体与在一个或多个其他摄像机中跟踪的个体相匹配的两个或更多相机。

24. 发明授权

US08675917B2 Abandoned object recognition using pedestrian detection 有权
标题翻译：放弃对象识别使用行人检测
公开(公告)号：US08675917B2
公开(公告)日：2014-03-18
申请号：US13285354
申请日：2011-10-31
申请人： Lisa M. Brown , Rogerio S. Feris , Frederik C. Kjeldsen , Kristina Scherbaum
发明人： Lisa M. Brown , Rogerio S. Feris , Frederik C. Kjeldsen , Kristina Scherbaum
IPC分类号： G06K9/00 , H04N5/225
CPC分类号： G06K9/00369 , G06K9/626 , G06K9/6857
摘要： Methods and apparatus are provided for improved abandoned object recognition using pedestrian detection. An abandoned object is detected in one or more images by determining if one or more detected objects in a foreground of the images comprises a potential abandoned object; applying a trained pedestrian detector to the potential abandoned object to determine if the potential abandoned object comprises at least a portion of a pedestrian; and classifying the potential abandoned object as an abandoned object based on whether the potential abandoned object is not at least a portion of a pedestrian. The trained pedestrian detector is trained using positive training samples comprised of at least portions of human bodies in one or more poses and/or negative training samples comprised of at least portions of abandoned objects.
摘要翻译：提供了使用行人检测改进废弃物识别的方法和装置。通过确定图像的前景中的一个或多个检测到的对象是否包括潜在废弃对象，在一个或多个图像中检测到废弃物体; 将经过训练的行人检测器应用于潜在废弃物体以确定潜在废弃物体是否包括行人的至少一部分; 并且基于潜在废弃物体是否不是行人的至少一部分，将潜在废弃物体分类为废弃物体。训练有素的行人检测器使用由至少部分被遗弃物体组成的一个或多个姿势和/或负训练样本中的人体的至少部分组成的训练有素的训练样本进行训练。

25. 发明授权

US08457355B2 Incorporating video meta-data in 3D models 有权
标题翻译：将视频元数据纳入3D模型
公开(公告)号：US08457355B2
公开(公告)日：2013-06-04
申请号：US13101401
申请日：2011-05-05
申请人： Lisa M. Brown , Ankur Datta , Rogerio S. Feris , Sharathchandra U. Pankanti
发明人： Lisa M. Brown , Ankur Datta , Rogerio S. Feris , Sharathchandra U. Pankanti
IPC分类号： G06K9/00 , H04N5/225
CPC分类号： G06T7/20 , G06K9/00208 , G06T7/251 , G06T13/20 , G06T17/00 , G06T19/006
摘要： A moving object detected and tracked within a field of view environment of a 2D data feed of a calibrated video camera is represented by a 3D model through localizing a centroid of the object and determining an intersection with a ground-plane within the field of view environment. An appropriate 3D mesh-based volumetric model for the object is initialized by using a back-projection of a corresponding 2D image as a function of the centroid and the determined ground-plane intersection. Nonlinear dynamics of a tracked motion path of the object are represented as a collection of different local linear models. A texture of the object is projected onto the 3D model, and 2D tracks of the object are upgraded to 3D motion to drive the 3D model by learning a weighted combination of the different local linear models that minimizes an image re-projection error of model movement.
摘要翻译：在校准摄像机的2D数据馈送的视野环境内检测和跟踪的移动物体由3D模型表示，其通过定位对象的质心并确定视场环境内的接地平面的交点。通过使用对应的2D图像的反投影作为质心和确定的地面交点的函数来初始化用于对象的适当的基于3D网格的体积模型。对象的跟踪运动路径的非线性动力学被表示为不同局部线性模型的集合。将对象的纹理投影到3D模型上，并且将对象的2D轨迹升级到3D运动，以通过学习不同局部线性模型的加权组合来驱动3D模型，从而最小化模型运动的图像重新投影误差。

26. 发明申请

US20130108102A1 Abandoned Object Recognition Using Pedestrian Detection 有权
标题翻译：放弃对象识别使用行人检测
公开(公告)号：US20130108102A1
公开(公告)日：2013-05-02
申请号：US13285354
申请日：2011-10-31
申请人： Lisa M. Brown , Rogerio S. Feris , Frederik C. Kjeldsen , Kristina Scherbaum
发明人： Lisa M. Brown , Rogerio S. Feris , Frederik C. Kjeldsen , Kristina Scherbaum
IPC分类号： G06K9/62
CPC分类号： G06K9/00369 , G06K9/626 , G06K9/6857
摘要： Methods and apparatus are provided for improved abandoned object recognition using pedestrian detection. An abandoned object is detected in one or more images by determining if one or more detected objects in a foreground of the images comprises a potential abandoned object; applying a trained pedestrian detector to the potential abandoned object to determine if the potential abandoned object comprises at least a portion of a pedestrian; and classifying the potential abandoned object as an abandoned object based on whether the potential abandoned object is not at least a portion of a pedestrian. The trained pedestrian detector is trained using positive training samples comprised of at least portions of human bodies in one or more poses and/or negative training samples comprised of at least portions of abandoned objects.
摘要翻译：提供了使用行人检测改进废弃物识别的方法和装置。通过确定图像的前景中的一个或多个检测到的对象是否包括潜在废弃对象，在一个或多个图像中检测到废弃物体; 将经过训练的行人检测器应用于潜在废弃物体以确定潜在废弃物体是否包括行人的至少一部分; 并且基于潜在废弃物体是否不是行人的至少一部分，将潜在废弃物体分类为废弃物体。训练有素的行人检测器使用由至少部分被遗弃物体组成的一个或多个姿势和/或负训练样本中的人体的至少部分组成的训练有素的训练样本进行训练。

27. 发明授权

US08152587B1 Novelty toy accessory with concealed compartment insert templates 有权
标题翻译：新颖的玩具配件隐藏的隔间插入模板
公开(公告)号：US08152587B1
公开(公告)日：2012-04-10
申请号：US12653439
申请日：2009-12-14
申请人： Lisa M. Brown
发明人： Lisa M. Brown
IPC分类号： A63H3/00
CPC分类号： A63H3/02 , A63H3/005
摘要： A novelty toy having a body with a concealed basket compartment creating a cavity to house, store, secure, and conceal novelty items. The toy further includes a detachable cover to conceal the cavity when the cover is attached to the body and reveal the cavity when removed. The novelty toy also includes a removably changeable housing insert assembly embedded within the cavity having several attachment components which include a light source, a changeable housing insert template, a changeable inner insert template, an insert cover template and an insert ramp accessory. The cavity and insert assembly is used to display, store, house, secure templates with indicia including but not limited to arts and crafts, traditional family, learning and sport activity games. The toy body may be in the form of an animal-like, humanoid, holiday figure, mascot, icon or any characters attracted, known or recognizable to children or adults.
摘要翻译：一种新颖的玩具，它具有一个带有隐藏的篮子隔间的身体，形成一个用于容纳，存储，固定和隐藏新奇物品的空腔。玩具还包括可拆卸的盖，以在盖被附接到主体时隐藏空腔，并且在移除时露出空腔。新颖的玩具还包括可拆卸地改变的壳体插入组件，其嵌入在腔体内，具有多个附接部件，其包括光源，可更换的壳体插入模板，可更换的内部插入模板，插入盖模板和插入斜坡附件。空腔和插入组件用于显示，存储，存放，保存具有标记的模板，包括但不限于艺术和手工艺，传统家庭，学习和运动活动游戏。玩具身体可以是动物般的，类人动物，假日人物，吉祥物，图标或被儿童或成年人所知晓或识别的任何角色的形式。

28. 发明申请

US20080232685A1 CATEGORIZING MOVING OBJECTS INTO FAMILIAR COLORS IN VIDEO 有权
标题翻译：将移动物体分类为视频中的家庭彩色
公开(公告)号：US20080232685A1
公开(公告)日：2008-09-25
申请号：US11688588
申请日：2007-03-20
申请人： Lisa M. Brown
发明人： Lisa M. Brown
IPC分类号： G06K9/00
CPC分类号： G06T7/20 , G06K9/4652
摘要： An improved solution for categorizing moving objects into familiar colors in video is provided. In an embodiment of the invention, a method for categorizing moving objects into familiar colors in video comprises: receiving a video input; determining at least one object track of the video input; creating a normalized cumulative histogram of the at least one object track; and one of: performing a parameterization quantization of the histogram including separating the histogram into regions based on at least one surface curve derived from one of saturation and intensity; or identifying a significant color of the quantized histogram.
摘要翻译：提供了一种改进的解决方案，用于将移动对象分类为视频中熟悉的颜色。在本发明的一个实施例中，用于将移动对象分类为视频中熟悉的颜色的方法包括：接收视频输入; 确定视频输入的至少一个物体轨道; 创建所述至少一个物体轨道的归一化累积直方图; 以及以下之一：执行直方图的参数化量化，其包括基于从饱和度和强度之一导出的至少一个曲面曲线将直方图分离成区域; 或识别量化直方图的显着颜色。

29. 发明申请

US20090236825A1 SYSTEM FOR ASSISTING THE ATTACHMENT OF A TRAILER TO A VEHICLE 失效
标题翻译：帮助拖车到车辆的系统
公开(公告)号：US20090236825A1
公开(公告)日：2009-09-24
申请号：US12052115
申请日：2008-03-20
申请人： Masalo Okuda , Christian A. Trager , Lisa M. Brown , Michael Wiegand , Tanemichi Chiba , Christopher Kurpinski , Jeffrey E. Angeliu , Hirohiko Yanagawa , Yoshihisa Sato , Toshihiro Wakamatsu , Justin McBride , Thomas Keeling
发明人： Masalo Okuda , Christian A. Trager , Lisa M. Brown , Michael Wiegand , Tanemichi Chiba , Christopher Kurpinski , Jeffrey E. Angeliu , Hirohiko Yanagawa , Yoshihisa Sato , Toshihiro Wakamatsu , Justin McBride , Thomas Keeling
IPC分类号： B60D1/36
CPC分类号： B60D1/36
摘要： A system for assisting the alignment of a hitch pin mounted on the rear of a vehicle with a hitch socket mounted on the front of a trailer. The system includes a camera mounted to the vehicle and positioned to capture an image rearwardly of the vehicle. A video display is contained within the vehicle which displays the image captured by the camera. A processor is also contained in the vehicle which calculates a preferred path of travel of the vehicle to position the hitch pin in alignment with the hitch socket. The processor is programmed to provide instructions to an operator of the vehicle of the required steering to maintain the vehicle on the preferred path of travel. The processor recalculates the preferred path of travel whenever the vehicle veers from the preferred path of travel by a preset threshold.
摘要翻译：一种用于辅助安装在车辆后部的搭扣销的对准的系统与安装在拖车前部的搭接插座。该系统包括安装到车辆并被定位成捕获车辆后方的图像的照相机。视频显示器包含在车辆内，其显示由相机拍摄的图像。车辆中还包含处理器，其计算车辆行驶的优选路径以将搭扣销定位成与搭接插座对准。处理器被编程为向车辆的操作者提供所需转向的指令，以将车辆保持在优选的行进路径上。当车辆从优选的行进路线偏离预设阈值时，处理器重新计算首选行驶路径。

30. 发明申请

US20120274805A1 Color Correction for Static Cameras 有权
标题翻译：静态相机的颜色校正
公开(公告)号：US20120274805A1
公开(公告)日：2012-11-01
申请号：US13097435
申请日：2011-04-29
申请人： Lisa M. Brown , Kristina Scherbaum , Rogerio S. Feris , Sharathchandra U. Pankanti
发明人： Lisa M. Brown , Kristina Scherbaum , Rogerio S. Feris , Sharathchandra U. Pankanti
IPC分类号： H04N9/73
CPC分类号： H04N9/735 , H04N5/272 , H04N7/183
摘要： Methods and apparatus are provided for color correction of images. One or more colors in an image obtained from a static video camera are corrected by obtaining one or more historical background models from one or more prior images obtained from the static video camera; obtaining a live background model and a live foreground model from one or more current images obtained from the static video camera; generating a reference image from the one or more historical background models; and processing the reference image, the live background model, and the live foreground model to generate a set of color corrected foreground objects in the image. The set of color corrected foreground objects is optionally processed to classify a color of at least one of the foreground objects.
摘要翻译：为图像的颜色校正提供了方法和装置。通过从从静态摄像机获得的一个或多个先前图像获得一个或多个历史背景模型来校正从静态摄像机获得的图像中的一种或多种颜色; 从静态摄像机获得的一个或多个当前图像获得实况背景模型和实况前景模型; 从所述一个或多个历史背景模型生成参考图像; 以及处理参考图像，实况背景模型和实况前景模型以生成图像中的一组颜色校正的前景对象。可选地处理该组色彩校正的前景对象以对至少一个前景对象的颜色进行分类。

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