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31. 发明授权

US08824791B2 Color correction for static cameras 有权
标题翻译：静态摄像机的色彩校正
公开(公告)号：US08824791B2
公开(公告)日：2014-09-02
申请号：US13097435
申请日：2011-04-29
申请人： Lisa M. Brown , Rogerio S. Feris , Sharathchandra U. Pankanti , Kristina Scherbaum
发明人： Lisa M. Brown , Rogerio S. Feris , Sharathchandra U. Pankanti , Kristina Scherbaum
IPC分类号： G06K9/00 , H04N5/272 , H04N9/73 , H04N7/18
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。

32. 发明授权

US08811663B2 Object detection in crowded scenes 有权
标题翻译：拥挤场景中的物体检测
公开(公告)号：US08811663B2
公开(公告)日：2014-08-19
申请号：US13150952
申请日：2011-06-01
申请人： Lisa M. Brown , Rogerio S. Feris , Sharathchandra U. Pankanti , James Petterson , Behjat Siddiquie
发明人： Lisa M. Brown , Rogerio S. Feris , Sharathchandra U. Pankanti , James Petterson , Behjat Siddiquie
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/6256 , G06K9/00778 , G06K9/00785 , G06K9/6264
摘要： Methods and systems are provided for object detection. A method includes automatically collecting a set of training data images from a plurality of images. The method further includes generating occluded images. The method also includes storing in a memory the generated occluded images as part of the set of training data images, and training an object detector using the set of training data images stored in the memory. The method additionally includes detecting an object using the object detector, the object detector detecting the object based on the set of training data images stored in the memory.
摘要翻译：为对象检测提供了方法和系统。一种方法包括从多个图像自动收集一组训练数据图像。该方法还包括产生遮挡图像。该方法还包括将生成的遮挡图像作为训练数据图像集合的一部分存储在存储器中，并且使用存储在存储器中的训练数据图像集训练对象检测器。该方法还包括使用对象检测器检测对象，对象检测器基于存储在存储器中的训练数据图像集合来检测对象。

33. 发明申请

US20120281873A1 INCORPORATING VIDEO META-DATA IN 3D MODELS 有权
标题翻译：在3D模型中加入视频元数据
公开(公告)号：US20120281873A1
公开(公告)日：2012-11-08
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
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。

34. 发明申请

US20120045090A1 MULTI-MODE VIDEO EVENT INDEXING 有权
标题翻译：多模式视频活动指标
公开(公告)号：US20120045090A1
公开(公告)日：2012-02-23
申请号：US12857755
申请日：2010-08-17
申请人： Russell P. Bobbitt , Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Yun Zhai
发明人： Russell P. Bobbitt , Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Yun Zhai
IPC分类号： G06K9/00
CPC分类号： G06T7/254 , G06K9/00536 , G06K9/00771 , G06K9/4647 , G06K9/6212 , G06T7/20 , G06T7/74 , G06T7/97 , G06T2207/10016 , G06T2207/20224 , G06T2207/30232 , H04N7/18
摘要： Multi-mode video event indexing includes determining a quality of object distinctiveness with respect to images from a video stream input. A high-quality analytic mode is selected from multiple modes and applied to video input images via a hardware device to determine object activity within the video input images if the determined level of detected quality of object distinctiveness meets a threshold level of quality, else a low-quality analytic mode is selected and applied to the video input images via a hardware device to determine object activity within the video input images, wherein the low-quality analytic mode is different from the high-quality analytic mode.
摘要翻译：多模式视频事件索引包括确定相对于来自视频流输入的图像的对象特征的质量。从多种模式中选择高质量的分析模式，并通过硬件设备将视频输入图像应用于视频输入图像，以确定检测到的对象特征质量水平达到阈值质量水平时视频输入图像中的对象活动，否则低通过硬件设备选择质量分析模式并将其应用于视频输入图像，以确定视频输入图像内的对象活动，其中低质量分析模式不同于高质量分析模式。

35. 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。

36. 外观设计

USD405020S Combined vibrating beeper and infant monitor system 失效
公开(公告)号：USD405020S
公开(公告)日：1999-02-02
申请号：US72129
申请日：1997-06-09
申请人： Lisa M. Brown , Kevin C. Brown
设计人： Lisa M. Brown , Kevin C. Brown

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