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公开(公告)号：US6061088A
公开(公告)日：2000-05-09
申请号：US9167
申请日：1998-01-20
CPC分类号： G06K9/38 , G06K9/00771 , G06T7/2053
摘要： A multi-resolution background adaptation system and method wherein image information for a video frame is analyzed to update a background image in as great a resolution as possible. The video frame is partitioned into a plurality of cell levels, each cell level comprising at least one cell. Each cell is further partitioned into children cells for several hierarchical levels. Background image adaptation begins at the frame level and proceeds to lower cell levels of smaller cells when the lower cell levels are not substantially occluded by objects.
摘要翻译： 分析用于视频帧的图像信息以尽可能高的分辨率来更新背景图像的多分辨率背景调整系统和方法。 视频帧被划分成多个单元级，每个单元级包括至少一个单元。 每个单元格进一步划分成几个层次级别的小孩单元格。 背景图像适应在帧级开始，并且当较低单元级别基本上不被对象遮挡时，进行到较小单元的较低单元级。
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公开(公告)号：US06263088B1
公开(公告)日：2001-07-17
申请号：US09020323
申请日：1998-02-06
IPC分类号： G06K900
CPC分类号： G06K9/00369 , G01S3/7865 , G06K9/00295 , G06K9/32 , G06T7/11 , G06T7/246 , G06T7/277 , G06T2207/10016 , G08B13/19602 , G08B13/19604 , G08B13/19608 , G08B13/19673
摘要： A system and method for tracking movement of objects, such as people, through a scene. A background image comprising image information representing a background of the scene is generated. Image information for a video frame is compared with image information of the background image to generate regions in a video frame which potentially represent objects to be tracked in the scene. Region clusters are formed by combinations of regions if such combination satisfy predetermined criteria, and the region clusters are hypotheses of objects to be tracked. Each region cluster is evaluated to determine whether each represents an object to be tracked, based on object model information and correspondence to region clusters in a prior video frame. A confidence value is generated for each region cluster that represents a likelihood that the region represents an object to be tracked. A correspondence is determined between region clusters in consecutive video frames. Tracks of objects through the scene over time are constructed based upon the correspondence determined between region clusters in consecutive video frames.
摘要翻译： 用于跟踪物体（例如人物）通过场景的移动的系统和方法。 生成包括表示场景的背景的图像信息的背景图像。 将视频帧的图像信息与背景图像的图像信息进行比较，以在视频帧中生成潜在地表示在场景中要跟踪的对象的区域。 如果这样的组合满足预定标准，则区域集合由区域的组合形成，并且区域集群是要跟踪的对象的假设。 基于对象模型信息和与先前视频帧中的区域簇的对应关系，对每个区域集群进行评估，以确定每个是否表示要跟踪的对象。 为表示区域表示要跟踪的对象的可能性的每个区域集群生成置信度值。 在连续视频帧中确定区域簇之间的对应关系。 基于在连续视频帧中的区域聚类之间确定的对应关系，构建了随时间经过现场的对象的轨迹。
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3.发明授权System and method for tracking movement of objects in a scene using correspondence graphs 失效使用对应图跟踪场景中物体运动的系统和方法公开(公告)号：US06295367B1
公开(公告)日：2001-09-25
申请号：US09019595
申请日：1998-02-06
IPC分类号： G06K900
CPC分类号： G06K9/00295 , G01S3/7865 , G06K9/32 , G06T7/162 , G06T7/246 , G06T2207/10016 , G07G3/006 , G08B13/19602 , G08B13/19608 , G08B13/19673
摘要： A system and method for tracking movement of objects in a scene from a stream of video frames using first and second correspondence graphs. A first correspondence graph, called an object correspondence graph, is formed comprising a plurality of nodes representing region clusterss in the scene which are hypotheses of objects to be tracked, and a plurality of tracks. Each track comprises an ordered sequence of nodes in consecutive video frames that represents a track segment of an object through the scene. A second correspondence graph, called a track correspondence graph, is created, comprising a plurality of nodes, each node corresponding to at least one track in the first correspondence graph. A track comprising an ordered sequence of nodes in the second correspondence graph represents the path of an object through the scene. Tracking information for objects, such as persons, in the scene, is accumulated based on the first correspondence graph and second correspondence graph.
摘要翻译： 一种用于使用第一和第二对应关系图从视频帧流跟踪场景中的对象的移动的系统和方法。 形成第一对称图，称为对象对应图，包括表示场景中的区域簇的多个节点，这些节点是要跟踪的对象的假设，以及多个轨道。 每个轨道包括表示通过场景的物体的轨道段的连续视频帧中的有序序列的节点。 创建称为轨道对应图的第二对应图，包括多个节点，每个节点对应于第一对应图中的至少一个轨道。 包括第二对应图中的有序顺序的节点的轨迹表示通过场景的对象的路径。 基于第一对应图和第二对应图累积跟踪场景中诸如人物的信息。
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4.发明授权System and method for matching image information to object model information 失效将图像信息与对象模型信息进行匹配的系统和方法公开(公告)号：US06185314B2
公开(公告)日：2001-02-06
申请号：US09020113
申请日：1998-02-06
IPC分类号： G06K900
CPC分类号： G06K9/32 , G01S3/7865 , G06K9/00295 , G06T7/246 , G06T7/277 , G08B13/19602 , G08B13/19608 , G08B13/19673
摘要： A tracking system and method for evaluating whether image information for a region cluster of a video frame of a scene represents an hypothesis of an object to be tracked, such as a person. At least one real-world feature of a region cluster corresponding to an object to be tracked is generated. For example, the at least feature is at least one possible location of a predetermined portion of an object represented by the region cluster is determined based on a viewing angle of the scene of the video camera. A distance from the video camera to the object corresponding to the region is determined in real-world coordinates for each possible location of the predetermined portion of the region cluster. Real-world size and location information for the region cluster is determined based on the distance. The real-world size and location information for the region cluster is compared with statistical information for the particular type of object to determine a confidence value representing a measure of confidence that the region cluster represents the particular type of object.
摘要翻译： 用于评估场景的视频帧的区域簇的图像信息的跟踪系统和方法表示诸如人物之类的要跟踪对象的假设。 生成与待跟踪对象相对应的区域集群的至少一个真实世界特征。 例如，至少特征是基于视频摄像机的场景的视角来确定由区域簇表示的对象的预定部分的至少一个可能位置。 在区域簇的预定部分的每个可能位置的实际坐标中确定从摄像机到对应于该区域的物体的距离。 基于距离确定区域集群的实际大小和位置信息。 将区域集群的真实世界大小和位置信息与特定类型的对象的统计信息进行比较，以确定表示区域集群表示特定类型对象的可信度度量的置信度值。
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公开(公告)号：US06697532B1
公开(公告)日：2004-02-24
申请号：US09430204
申请日：1999-10-29
申请人： Stephen George Demko , Keshi Chen , Mehdi Khosravi
发明人： Stephen George Demko , Keshi Chen , Mehdi Khosravi
IPC分类号： G06K936
CPC分类号： G06K9/52
摘要： The methods of the invention can be used with image data divided into domain blocks. A predetermined search pattern of range blocks centered on a domain block is defined for use in the methods. The first method includes a step of generating at least one error descriptor data based on domain block data and range block data. The error descriptor data can be derived by scaling the range blocks to the pixel size of a domain block, and subtracting the means of the range blocks and domain block from each pixel thereof. The mean-adjusted, scaled pixel intensity levels of the scaled range blocks are subtracted from mean-adjusted pixel intensity levels of the domain block to produce difference data. The absolute value of the difference data is taken and the positive difference data are summed to produce summed error data for each range block. The summed error data is used to derive at least one error descriptor data for the image. The invention includes a method of using the error descriptor data of a source image to search a database of error descriptor data for target images to select target images relatively close to the source image. The invention also includes a related system.
摘要翻译： 本发明的方法可以与划分成域块的图像数据一起使用。 定义了以域块为中心的范围块的预定搜索模式，用于该方法。 第一种方法包括基于域块数据和范围块数据生成至少一个错误描述符数据的步骤。 可以通过将范围块缩放到域块的像素大小，并从其每个像素中减去范围块和域块的平均值来导出错误描述符数据。 平均调整的缩放范围块的缩放像素强度级别从域块的平均调整像素强度级中减去以产生差异数据。 采用差分数据的绝对值，并将正差分数据相加以产生每个范围块的相加误差数据。 求和的误差数据用于导出图像的至少一个误差描述符数据。 本发明包括使用源图像的错误描述符数据来搜索目标图像的错误描述符数据的数据库以选择比较靠近源图像的目标图像的方法。 本发明还包括相关系统。
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6.发明授权公开(公告)号：US06184926B2
公开(公告)日：2001-02-06
申请号：US08859902
申请日：1997-05-21
申请人： Mehdi Khosravi , Ara V. Nefian
发明人： Mehdi Khosravi , Ara V. Nefian
IPC分类号： H04N5262
CPC分类号： G06K9/00234 , G06K9/00604
摘要： The present invention provides for the detection of human heads, faces and eyes in real-time and in uncontrolled environments. The present invention may be implemented with commercially available components, such as a standard video camera and a frame grabber, on a personal computer (PC) platform. The approach used by the present invention is based on a probabilistic framework that uses a deformable template model to describe the human face. The present invention works both with simple head-and-shoulder video sequences, as well as with complex video scenes with multiple people and random motion. The present invention is able to locate the eyes from different head poses (rotations in image plane as well as in depth). The information provided by the location of the eyes may be used to extract faces from a frontal pose in a video sequence. The extracted frontal frames can be passed to recognition and classification systems (or the like) for further processing.
摘要翻译： 本发明提供了在实时和不受控制的环境中检测人的头部，脸部和眼睛。 本发明可以在个人计算机（PC）平台上用市售的组件（例如标准摄像机和帧采集器）来实现。 本发明使用的方法是基于使用可变形模板模型描述人脸的概率框架。 本发明既适用于简单的头肩视频序列，也可用于具有多人和随机运动的复杂视频场景。 本发明能够从不同的头部姿势（图像平面中的旋转以及深度）定位眼睛。 由眼睛的位置提供的信息可用于从视频序列中的正面姿态提取面部。 提取的正面框架可以传递到识别和分类系统（等）以进一步处理。
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公开(公告)号：US09218386B2
公开(公告)日：2015-12-22
申请号：US13292644
申请日：2011-11-09
申请人： Jianwu Xu , Larry Roddenberry , Mehdi Khosravi
发明人： Jianwu Xu , Larry Roddenberry , Mehdi Khosravi
CPC分类号： G06F17/30348
摘要： One embodiment is directed to a method for controlling access to a domain. The method includes receiving a request from a workbook process for a shared lock on a primary lock file and a secondary lock file controlling access to the domain, and providing the shared lock(s) when there is not an exclusive lock. While the workbook process is still in progress, the method may further include receiving a request from a batch process for an exclusive lock on the primary lock file, immediately providing an exclusive lock on the primary lock file the batch process, receiving a request from the batch process for an exclusive lock on the secondary lock file, and providing the exclusive lock on the secondary lock file to the batch process when there is not a shared lock on the secondary lock file.
摘要翻译： 一个实施例涉及用于控制对域的访问的方法。 该方法包括从工作簿进程接收对主锁文件的共享锁定的请求，以及控制对域的访问的辅助锁文件，以及当没有排他锁时提供共享锁。 当工作簿进程仍在进行中时，该方法还可以包括从批量处理接收对主锁文件的排他锁的请求，立即向主锁文件提供批量处理的排他锁，从 批次进程，用于辅助锁定文件上的独占锁定，并且在辅助锁定文件上没有共享锁定时，将辅助锁定文件的排他锁提供给批处理进程。
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