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1. 发明授权

US08457401B2 Video segmentation using statistical pixel modeling 有权
标题翻译：视频分割采用统计像素建模
公开(公告)号：US08457401B2
公开(公告)日：2013-06-04
申请号：US12297396
申请日：2007-03-01
申请人： Alan J. Lipton , Niels Haering , Zeeshan Rasheed , Omar Javed , Zhong Zhang , Weihong Yin , Peter L. Venetianer , Gary W. Myers
发明人： Alan J. Lipton , Niels Haering , Zeeshan Rasheed , Omar Javed , Zhong Zhang , Weihong Yin , Peter L. Venetianer , Gary W. Myers
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06K9/38
摘要： A method for segmenting video data into foreground and background (324) portions utilizes statistical modeling of the pixels Λ statistical model of the background is built for each pixel, and each pixel in an incoming video frame is compared (326) with the background statistical model for that pixel. Pixels are determined to be foreground or background based on the comparisons. The method for segmenting video data may be further incorporated into a method for implementing an intelligent video surveillance system The method for segmenting video data may be implemented in hardware.
摘要翻译：将视频数据分割成前景和背景（324）部分的方法利用像素的统计建模，针对每个像素构建背景的统计模型，并将进入视频帧中的每个像素与背景统计模型进行比较（326）为该像素。基于比较将像素确定为前景或背景。用于分割视频数据的方法可以进一步并入用于实现智能视频监控系统的方法。用于分割视频数据的方法可以以硬件实现。

2. 发明授权

US07825954B2 Multi-state target tracking 有权
标题翻译：多状态目标跟踪
公开(公告)号：US07825954B2
公开(公告)日：2010-11-02
申请号：US11139600
申请日：2005-05-31
申请人： Zhong Zhang , Haiying Liu , Alan J. Lipton , Zeeshan Rasheed , Paul C. Brewer , Andrew J. Chosak , Niels Haering , Peter L. Venetianer , Weihong Yin
发明人： Zhong Zhang , Haiying Liu , Alan J. Lipton , Zeeshan Rasheed , Paul C. Brewer , Andrew J. Chosak , Niels Haering , Peter L. Venetianer , Weihong Yin
IPC分类号： H04N5/225 , G06K9/00
CPC分类号： G01S3/7864
摘要： A method of video analysis may comprise tracking a state of each target in a video through multiple frames of said video, each state indicating a visibility condition of a target.
摘要翻译：视频分析的方法可以包括通过所述视频的多个帧跟踪视频中的每个目标的状态，每个状态指示目标的可见性条件。

3. 发明申请

US20080240616A1 Automatic camera calibration and geo-registration using objects that provide positional information 有权
标题翻译：使用提供位置信息的对象进行自动相机校准和地理登记
公开(公告)号：US20080240616A1
公开(公告)日：2008-10-02
申请号：US11730518
申请日：2007-04-02
申请人： Niels Haering , Zeeshan Rasheed , Khurram Hassan-Shafique , Asaad Hakeem , Omar Javed , Xiao C. Cao , Haiying Liu , Li Yu , Donald G. Madden , Andrew J. Chosak , Geoffrey Taylor , Himaanshu Gupta , Alan J. Lipton
发明人： Niels Haering , Zeeshan Rasheed , Khurram Hassan-Shafique , Asaad Hakeem , Omar Javed , Xiao C. Cao , Haiying Liu , Li Yu , Donald G. Madden , Andrew J. Chosak , Geoffrey Taylor , Himaanshu Gupta , Alan J. Lipton
IPC分类号： G06T3/00
CPC分类号： G06K9/209 , G06K9/00771 , G06T7/80 , G06T2207/10016 , G06T2207/30184
摘要： A video sequence of a field of view within an environment is received. Targets are detected in the video sequence. Target geo-positional information is received. Correspondences between the targets detected in the video sequence and the target geo-positional information are determined and used to calibrate the camera and to geo-register a field of view of the camera.
摘要翻译：接收环境中视场的视频序列。在视频序列中检测到目标。接收目标地理位置信息。确定视频序列中检测到的目标与目标地理位置信息之间的对应关系，并用于校准相机并对相机的视场进行地理登记。

4. 发明申请

US20060066719A1 Method for finding paths in video 审中-公开
标题翻译：在视频中查找路径的方法
公开(公告)号：US20060066719A1
公开(公告)日：2006-03-30
申请号：US10948751
申请日：2004-09-24
申请人： Niels Haering , Zeeshan Rasheed , Li Yu , Andrew Chosak , Geoffrey Egnal , Alan Lipton , Haiying Liu , Peter Venetianer , Weihong Yin , Liang Yu , Zhong Zhang
发明人： Niels Haering , Zeeshan Rasheed , Li Yu , Andrew Chosak , Geoffrey Egnal , Alan Lipton , Haiying Liu , Peter Venetianer , Weihong Yin , Liang Yu , Zhong Zhang
IPC分类号： H04N7/18 , H04N9/47 , H04N5/225
CPC分类号： G06K9/00771
摘要： An input video sequence may be processed by processing the input video sequence to obtain target information; and building at least one path model based on said target information. The path model may be used to detect various events, particularly in connection with video surveillance.
摘要翻译：可以通过处理输入视频序列来处理输入视频序列以获得目标信息; 以及基于所述目标信息构建至少一个路径模型。路径模型可用于检测各种事件，特别是与视频监控有关。

5. 发明授权

US08823804B2 Method for finding paths in video 有权
标题翻译：在视频中查找路径的方法
公开(公告)号：US08823804B2
公开(公告)日：2014-09-02
申请号：US13354141
申请日：2012-01-19
申请人： Niels Haering , Zeeshan Rasheed , Li Yu , Andrew J. Chosak
发明人： Niels Haering , Zeeshan Rasheed , Li Yu , Andrew J. Chosak
IPC分类号： H04N7/18
CPC分类号： G06T7/2033 , G01S3/7864 , G06K9/00335 , G06K9/00771 , G06T7/246 , G06T7/74 , G06T2207/10016 , G06T2207/20101 , G06T2207/30232 , G06T2207/30241 , G08B13/19613 , G08B31/00 , H04N7/181 , H04N7/183
摘要： A system for detecting behavior of a target may include: a target detection engine, adapted to detect at least one target from one or more objects from a video surveillance system recording a scene; a path builder, adapted to create at least one mature path model from analysis of the behavior of a plurality of targets in the scene, wherein the at least one mature path model includes a model of expected target behavior with respect to the at least one path model; and a target behavior analyzer, adapted to analyze and identify target behavior with respect to the at least one mature path model. The system may further include an alert generator, adapted to generate an alert based on the identified behavior.
摘要翻译：用于检测目标行为的系统可以包括：目标检测引擎，适于从记录场景的视频监控系统的一个或多个对象中检测至少一个目标; 路径构建器，适于从场景中的多个目标的行为的分析创建至少一个成熟路径模型，其中所述至少一个成熟路径模型包括相对于所述至少一个路径的期望目标行为的模型模型; 以及目标行为分析器，适于分析和识别关于所述至少一个成熟路径模型的目标行为。系统还可以包括警报生成器，适于基于所识别的行为来生成警报。

6. 发明授权

US07822275B2 Method for detecting water regions in video 有权
标题翻译：视频中水域检测方法
公开(公告)号：US07822275B2
公开(公告)日：2010-10-26
申请号：US11757738
申请日：2007-06-04
申请人： Zeeshan Rasheed , Niels Haering , Omar Javed , Xiao Chun Cao , Andrew J. Chosak , Himaanshu Gupta , Khurram Hassan-Shafique , Mun Wai Lee , Alan J. Lipton , Haiying Liu , Donald G. Madden , Geoffrey Taylor , Li Yu , Peter L. Venetianer , Zhong Zhang , Wei Hong Yin
发明人： Zeeshan Rasheed , Niels Haering , Omar Javed , Xiao Chun Cao , Andrew J. Chosak , Himaanshu Gupta , Khurram Hassan-Shafique , Mun Wai Lee , Alan J. Lipton , Haiying Liu , Donald G. Madden , Geoffrey Taylor , Li Yu , Peter L. Venetianer , Zhong Zhang , Wei Hong Yin
IPC分类号： G06K9/34
CPC分类号： G06K9/00624 , G06T7/11 , G06T7/215 , G06T2207/10016
摘要： A computer-based method for automatic detection of water regions in a video include the steps of estimating a water map of the video and outputting the water map to an output medium, such as a video analysis system. The method may further include the steps of training a water model from the water map; re-classifying the water map using the water model by detecting water pixels in the video; and refining the water map.
摘要翻译：用于自动检测视频中的水域的基于计算机的方法包括估计视频的水绘图并将水图输出到诸如视频分析系统的输出介质的步骤。该方法还可以包括从水图训练水模型的步骤; 通过检测视频中的水像，使用水模型重新分类水图; 并精炼水图。

7. 发明授权

US07583815B2 Wide-area site-based video surveillance system 有权
标题翻译：广域网站视频监控系统
公开(公告)号：US07583815B2
公开(公告)日：2009-09-01
申请号：US11098579
申请日：2005-04-05
申请人： Zhong Zhang , Li Yu , Haiying Liu , Paul C. Brewer , Andrew J. Chosak , Himaanshu Gupta , Niels Haering , Omar Javed , Alan J. Lipton , Zeeshan Rasheed , Pèter L. Venetianer , Weihong Yin , Liangyin Yu
发明人： Zhong Zhang , Li Yu , Haiying Liu , Paul C. Brewer , Andrew J. Chosak , Himaanshu Gupta , Niels Haering , Omar Javed , Alan J. Lipton , Zeeshan Rasheed , Pèter L. Venetianer , Weihong Yin , Liangyin Yu
IPC分类号： G06K9/00 , H04N5/225
CPC分类号： G06K9/00771 , G08B13/19613 , G08B29/188
摘要： A computer-readable medium contains software that, when read by a computer, causes the computer to perform a method for wide-area site-based surveillance. The method includes receiving surveillance data, including view targets, from a plurality of sensors at a site; synchronizing the surveillance data to a single time source; maintaining a site model of the site, wherein the site model comprises a site map, a human size map, and a sensor network model; analyzing the synchronized data using the site model to determine if the view targets represent a same physical object in the site; creating a map target corresponding to a physical object in the site, wherein the map target includes at least one view target; receiving a user-defined global event of interest, wherein the user-defined global event of interest is based on the site map and based on a set of rules; detecting the user-defined global event of interest in real time based on a behavior of the map target; and responding to the detected event of interest according to a user-defined response to the user-defined global event of interest.
摘要翻译：计算机可读介质包含当由计算机读取时使计算机执行广泛的基于站点的监视的方法的软件。该方法包括从站点的多个传感器接收包括视图目标的监视数据; 将监控数据同步到单个时间源; 维护站点的站点模型，其中站点模型包括站点地图，人口尺寸图和传感器网络模型; 使用站点模型分析同步数据，以确定视图目标是否表示站点中相同的物理对象; 创建与所述站点中的物理对象相对应的地图目标，其中，所述地图目标包括至少一个视图目标; 接收用户定义的感兴趣的全局事件，其中所述用户定义的感兴趣的全局事件基于所述站点映射并且基于一组规则; 基于地图目标的行为来实时检测用户定义的感兴趣的全局事件; 以及根据对用户定义的全局感兴趣事件的用户定义的响应来响应所检测到的感兴趣事件。

8. 发明授权

US07450735B1 Tracking across multiple cameras with disjoint views 有权
标题翻译：跟踪不同角度的多台摄像机
公开(公告)号：US07450735B1
公开(公告)日：2008-11-11
申请号：US10966769
申请日：2004-10-16
申请人： Mubarak Shah , Omar Javed , Khurram Shafique , Zeeshan Rasheed
发明人： Mubarak Shah , Omar Javed , Khurram Shafique , Zeeshan Rasheed
IPC分类号： G06K9/00
CPC分类号： G06T7/292 , G06T2207/10016
摘要： Tracking and surveillance methods and systems for monitoring objects passing in front of non-overlapping cameras. Invention finds corresponding tracks from different cameras and works out which object passing in front of the camera(s) made the tracks, in order to track the object from camera to camera. The invention uses an algorithm to learn inter-camera spatial temporal probability using Parzen windows, learns inter-camera appearance probabilities using distribution of Bhattacharyya distances between appearance models, establishes correspondences based on Maximum A Posteriori (MAP) framework combining both spatial temporal and appearance probabilities, and updates learned probabilities throughout the lifetime of the system.
摘要翻译：跟踪和监视方法和系统，用于监视通过非重叠相机前方的对象。本发明从不同的相机找到相应的轨道，并且确定通过相机前面的对象制成轨道，以便将对象从相机跟踪到相机。本发明使用算法来使用Parzen窗口来学习相机间空间时间概率，使用出现模型之间的Bhattacharyya距离的分布来学习相机间外观概率，基于最大后验（MAP）框架建立对应关系，结合空间时间和外观概率，并在系统的整个生命周期中更新学习的概率。

9. 发明授权

US09240051B2 Object density estimation in video 有权
标题翻译：视频中的对象密度估计
公开(公告)号：US09240051B2
公开(公告)日：2016-01-19
申请号：US11602490
申请日：2006-11-21
申请人： Haiying Liu , Peter L. Venetianer , Niels Haering , Omar Javed , Alan J. Lipton , Andrew Martone , Zeeshan Rasheed , Weihong Yin , Li Yu , Zhong Zhang
发明人： Haiying Liu , Peter L. Venetianer , Niels Haering , Omar Javed , Alan J. Lipton , Andrew Martone , Zeeshan Rasheed , Weihong Yin , Li Yu , Zhong Zhang
IPC分类号： H04N7/18 , G06T7/20 , G06K9/00 , G06K9/32
CPC分类号： G06T7/2033 , G06K9/00362 , G06K9/00778 , G06K9/3241 , G06T7/246 , G06T2207/30241
摘要： A video camera may overlook a monitored area from any feasible position. An object flow estimation module monitor the moving direction of the objects in the monitored area. It may separate the consistently moving objects from the other objects. A object count estimation module may compute the object density (e.g. crowd). A object density classification module may classify the density into customizable categories.
摘要翻译：视频摄像机可能会从任何可行的位置忽视监视区域。对象流量估计模块监视被监视区域中物体的移动方向。它可能会将一致移动的对象与其他对象分开。物体计数估计模块可以计算物体密度（例如人群）。物体密度分类模块可以将密度分类为可定制的类别。

10. 发明授权

US07796780B2 Target detection and tracking from overhead video streams 有权
标题翻译：开销视频流的目标检测和跟踪
公开(公告)号：US07796780B2
公开(公告)日：2010-09-14
申请号：US11165435
申请日：2005-06-24
申请人： Alan J. Lipton , Peter L. Venetianer , Zhong Zhang , Haiying Liu , Zeeshan Rasheed , Himaanshu Gupta , Li Yu
发明人： Alan J. Lipton , Peter L. Venetianer , Zhong Zhang , Haiying Liu , Zeeshan Rasheed , Himaanshu Gupta , Li Yu
IPC分类号： G06K9/00 , H04N7/18 , H04N5/225
CPC分类号： G06K9/00771 , G06T7/215 , G06T7/246 , G08B13/19608
摘要： A technique for video processing includes: receiving video from an overhead view of a scene; detecting moving pixels in the video; detecting line segments in the video based on detected moving pixels; identifying targets in the video based on the detected line segments; tracking targets in the video based on the identified targets; and managing tracked targets in the video.
摘要翻译：一种用于视频处理的技术包括：从场景俯视图接收视频; 检测视频中的移动像素; 基于检测到的移动像素检测视频中的线段; 基于检测到的线段识别视频中的目标; 根据识别的目标跟踪视频中的目标; 并管理视频中的跟踪目标。

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