公开(公告)号：US08805009B1

公开(公告)日：2014-08-12

申请号：US13351493

申请日：2012-01-17

申请人： Shahar Daliyot ,  Gadi Zimerman ,  Shmuel Kiro ,  Oren Golan

发明人： Shahar Daliyot ,  Gadi Zimerman ,  Shmuel Kiro ,  Oren Golan

IPC分类号： G06K9/00

CPC分类号： G06K9/6255

摘要： Embodiments disclosed herein provide systems and methods for matching trajectories across disjointed video views. In a particular embodiment, a method provides identifying a first trajectory associated with an object in video captured of a first region. The method further provides identifying a plurality of alternative views of the object from the video of the first region. The method further provides using the plurality of alternative views of the object, selecting a second trajectory that corresponds to the first trajectory from a plurality of trajectories associated with a plurality of objects in video captured of a second region.

摘要翻译： 本文公开的实施例提供了用于在不相交的视频视图上匹配轨迹的系统和方法。 在特定实施例中，一种方法提供识别与第一区域捕获的视频中的对象相关联的第一轨迹。 该方法还提供从第一区域的视频识别对象的多个替代视图。 该方法还提供使用对象的多个替代视图，从与第二区域的视频捕获的多个对象相关联的多个轨迹中选择对应于第一轨迹的第二轨迹。

公开(公告)号：US08644617B2

公开(公告)日：2014-02-04

申请号：US13493408

申请日：2012-06-11

申请人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz

发明人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz

IPC分类号： G06K9/48

CPC分类号： G06K9/00362 ,  G06K9/00281 ,  G06K9/4604 ,  G06K9/4609 ,  G06K9/522 ,  G06T5/00 ,  G06T7/13

摘要： A method executed by a computer system for detecting edges comprises receiving an image comprising a plurality of pixels, determining a phase congruency value for a pixel, where the phase congruency value comprises a plurality of phase congruency components, and determining if the phase congruency value satisfies a phase congruency criteria. If the phase congruency value satisfies the phase congruency criteria, the computer system categorizes the pixel as an edge pixel. If the phase congruency value does not satisfy the phase congruency criteria, the computer system compares a first phase congruency component of the plurality of phase congruency components to a phase congruency component criteria. If the first phase congruency component satisfies the phase congruency component criteria, the computer system categorizes the pixel as an edge pixel, and if the first phase congruency component does not satisfy the phase congruency component criteria, categorizes the pixel as a non-edge pixel.

摘要翻译： 由计算机系统执行的用于检测边缘的方法包括：接收包括多个像素的图像，确定像素的相位一致值，其中相位一致值包括多个相位一致分量，以及确定相位一致值是否满足 阶段一致性标准。 如果相位一致值满足相位一致性标准，则计算机系统将像素分类为边缘像素。 如果相位一致值不满足相位一致性标准，则计算机系统将多个相位一致分量的第一相位一致分量与相位一致分量标准进行比较。 如果第一相位一致性分量满足相位一致分量标准，则计算机系统将像素分类为边缘像素，并且如果第一相位一致分量不满足相位一致分量标准，则将像素分类为非边缘像素。

公开(公告)号：US08200022B2

公开(公告)日：2012-06-12

申请号：US12107976

申请日：2008-04-23

申请人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz

发明人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz

IPC分类号： G06K9/48

CPC分类号： G06K9/00362 ,  G06K9/00281 ,  G06K9/4604 ,  G06K9/4609 ,  G06K9/522 ,  G06T5/00 ,  G06T7/13

摘要： A method executed by a computer system for detecting edges comprises receiving an image comprising a plurality of pixels, determining a phase congruency value for a pixel, where the phase congruency value comprises a plurality of phase congruency components, and determining if the phase congruency value satisfies a phase congruency criteria. If the phase congruency value satisfies the phase congruency criteria, the computer system categorizes the pixel as an edge pixel. If the phase congruency value does not satisfy the phase congruency criteria, the computer system compares a first phase congruency component of the plurality of phase congruency components to a phase congruency component criteria. If the first phase congruency component satisfies the phase congruency component criteria, the computer system categorizes the pixel as an edge pixel, and if the first phase congruency component does not satisfy the phase congruency component criteria, categorizes the pixel as a non-edge pixel.

摘要翻译： 由计算机系统执行的用于检测边缘的方法包括：接收包括多个像素的图像，确定像素的相位一致值，其中相位一致值包括多个相位一致分量，以及确定相位一致值是否满足 阶段一致性标准。 如果相位一致值满足相位一致性标准，则计算机系统将像素分类为边缘像素。 如果相位一致值不满足相位一致性标准，则计算机系统将多个相位一致分量的第一相位一致分量与相位一致分量标准进行比较。 如果第一相位一致性分量满足相位一致分量标准，则计算机系统将像素分类为边缘像素，并且如果第一相位一致分量不满足相位一致分量标准，则将像素分类为非边缘像素。

公开(公告)号：US08059154B1

公开(公告)日：2011-11-15

申请号：US12245836

申请日：2008-10-06

申请人： Shmuel Kiro ,  Itsik Horovitz

发明人： Shmuel Kiro ,  Itsik Horovitz

IPC分类号： H04N17/00

CPC分类号： H04N17/002 ,  G06T7/80 ,  G06T2207/20076

摘要： Camera calibration for a particular camera is automated based on line segments derived from historical data of images passing within that camera's view. Objects having a stable history of orientation are selected for conversion to line segments. A model is derived that fits the way most of the objects behave. The model is specific for the camera supplying the historical data and is specific for the location and position of the camera in that location. The model is able to predict how an object would appear at different locations in the scene and can be applied to data collected by that camera in that location in the future. Outputs include internal camera parameters, a vertical vanishing point and horizontal vanishing line, an equation of the floor and height of objects touching the floor relative to the average person height in the calibration video data.

摘要翻译： 基于特定相机的相机校准是根据从相机视图中传送的图像的历史数据导出的线段自动进行的。 选择具有稳定的取向历史的对象以转换为线段。 衍生出一种符合大多数对象行为方式的模型。 该型号专用于提供历史数据的相机，具体针对该位置的相机的位置和位置。 该模型能够预测对象将如何出现在场景中的不同位置，并且可以应用于将来该摄像机在该位置收集的数据。 输出包括内部摄像机参数，垂直消失点和水平消失线，相对于校准视频数据中的平均人身高度的接触地面的物体的地板和高度方程。

公开(公告)号：US20100013931A1

公开(公告)日：2010-01-21

申请号：US12504492

申请日：2009-07-16

申请人： Oren Golan ,  Boaz Dudovich ,  Shahar Daliyot ,  Itzik Horovitz ,  Shmuel Kiro

发明人： Oren Golan ,  Boaz Dudovich ,  Shahar Daliyot ,  Itzik Horovitz ,  Shmuel Kiro

IPC分类号： H04N7/18

CPC分类号： H04N7/181 ,  G06K9/00771 ,  G06K9/6253 ,  G06Q30/02 ,  G06T7/70 ,  H04N7/18

摘要： A system and method for the capture and storage of data relating to the movements of objects, in a specified area and enables this data to be displayed in a graphically meaningful and useful manner. Video data is collected and video metadata is generated relating to objects (persons) appearing in the video data and their movements over time. The movements of the objects are then analyzed to detect the movements within a region of interest. This detection of movement allows a user, such as a manager of a store, to make informed decisions as to the infrastructure and operation of the store. One detection method relates to the number of people that are present in a region of interest for a specified time period. A second detection method relates to the number of people that remain or dwell in a particular area for a particular time period. A third detection method determines the flow of people and the direction they take within a region of interest. A fourth detection method relates to the number of people that enter a certain area by crossing a virtual line, a tripwire.

摘要翻译： 一种用于捕获和存储与指定区域中的对象移动有关的数据的系统和方法，并使得该数据能以图形有意义和有用的方式显示。 收集视频数据并生成与视频数据中出现的对象（人物）及其随时间的移动相关的视频元数据。 然后分析对象的移动以检测感兴趣区域内的移动。 这种移动检测允许诸如商店的管理者之类的用户对商店的基础设施和操作做出明智的决定。 一种检测方法涉及在指定时间段内存在于感兴趣区域中的人的数量。 第二种检测方法涉及在特定时间段内在特定地区保留或居住的人数。 第三种检测方法决定了人们的流动以及他们在感兴趣的区域内的方向。 第四种检测方法涉及通过穿过虚拟线路（tripwire）进入某一区域的人数。

公开(公告)号：US20090238458A1

公开(公告)日：2009-09-24

申请号：US12053788

申请日：2008-03-24

申请人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz

发明人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz

IPC分类号： G06K9/34

CPC分类号： G06K9/4604

摘要： A method for extracting line segments from an edge image comprises receiving a digital image comprising a plurality of edge pixels, and processing the plurality of edge pixels using a breadth first search to determine a plurality of breadth first search pixels in a breadth first search order for a connected component. The connected component comprises a plurality of components. The method continues by processing the plurality of breadth first search pixels in an order related to the breadth first search order to determine a plurality of component pixels for at least one component of the plurality of components. Each of the plurality of components comprises a line segment. The method concludes by processing the plurality of component pixels to determine a plurality of line segment pixels for the line segment.

摘要翻译： 一种用于从边缘图像中提取线段的方法包括：接收包括多个边缘像素的数字图像，并使用广度优先搜索来处理所述多个边缘像素，以确定广度第一搜索像素的广度优先搜索顺序， 连接组件。 所连接的部件包括多个部件。 该方法通过以与宽度第一搜索顺序相关的顺序处理多个宽度第一搜索像素来确定多个分量中的至少一个分量的多个分量像素来继续。 多个部件中的每一个都包括线段。 该方法通过处理多个分量像素来确定线段的多个线段像素。

公开(公告)号：US08885047B2

公开(公告)日：2014-11-11

申请号：US12504492

申请日：2009-07-16

申请人： Oren Golan ,  Boaz Dudovich ,  Shahar Daliyot ,  Itzik Horovitz ,  Shmuel Kiro

发明人： Oren Golan ,  Boaz Dudovich ,  Shahar Daliyot ,  Itzik Horovitz ,  Shmuel Kiro

IPC分类号： H04N7/18 ,  H04N5/225 ,  H04N7/00 ,  G06K9/00 ,  G06K9/62 ,  G06T7/00 ,  G06Q30/02

CPC分类号： H04N7/181 ,  G06K9/00771 ,  G06K9/6253 ,  G06Q30/02 ,  G06T7/70 ,  H04N7/18

摘要： A system and method for the capture and storage of data relating to the movements of objects, in a specified area and enables this data to be displayed in a graphically meaningful and useful manner. Video data is collected and video metadata is generated relating to objects (persons) appearing in the video data and their movements over time. The movements of the objects are then analyzed to detect the movements within a region of interest. This detection of movement allows a user, such as a manager of a store, to make informed decisions as to the infrastructure and operation of the store. One detection method relates to the number of people that are present in a region of interest for a specified time period. A second detection method relates to the number of people that remain or dwell in a particular area for a particular time period. A third detection method determines the flow of people and the direction they take within a region of interest. A fourth detection method relates to the number of people that enter a certain area by crossing a virtual line, a tripwire.

摘要翻译： 一种用于捕获和存储与指定区域中的对象移动有关的数据的系统和方法，并使得该数据能以图形有意义和有用的方式显示。 收集视频数据并生成与视频数据中出现的对象（人物）及其随时间的移动相关的视频元数据。 然后分析对象的移动以检测感兴趣区域内的移动。 这种移动检测允许诸如商店的管理者之类的用户对商店的基础设施和操作做出明智的决定。 一种检测方法涉及在指定时间段内存在于感兴趣区域中的人的数量。 第二种检测方法涉及在特定时间段内在特定地区保留或居住的人数。 第三种检测方法决定了人们的流动以及他们在感兴趣的区域内的方向。 第四种检测方法涉及通过穿过虚拟线路（tripwire）进入某一区域的人数。

公开(公告)号：US08379921B1

公开(公告)日：2013-02-19

申请号：US13014044

申请日：2011-01-26

申请人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz ,  Amir Sole ,  Zvi Figov

发明人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz ,  Amir Sole ,  Zvi Figov

IPC分类号： G06K9/00 ,  H04N5/935

CPC分类号： G06K9/3233 ,  G06T7/11 ,  G06T2207/30196 ,  H04N5/772

摘要： A video system for determining a region of interest in a video comprising a video source and a video processing system is provided. The video processing system is configured to receive the video from the video source and identify at least one object in the video which is in contact with the floor. The video processing system is further configured to determine a contact point between the object and the floor in a frame of the video and identify at least one polygon representing the floor in the frame, wherein the polygon includes the contact point. The video processing system is further configured to identify a three dimensional volume representing a space above the polygon extending to a designated height and select the region of interest by identifying a two dimensional area of the frame based on the three dimensional volume.

摘要翻译： 提供了一种用于确定包括视频源和视频处理系统的视频中的感兴趣区域的视频系统。 视频处理系统被配置为从视频源接收视频并且识别视频中与楼层接触的至少一个对象。 视频处理系统还被配置为确定视频的帧中的对象与楼层之间的接触点，并且识别在框架中表示楼层的至少一个多边形，其中多边形包括接触点。 视频处理系统还被配置为识别表示在多边形之上延伸到指定高度的空间的三维体积，并且基于三维体积识别该帧的二维区域来选择感兴趣区域。

公开(公告)号：US20120243793A1

公开(公告)日：2012-09-27

申请号：US13493408

申请日：2012-06-11

申请人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz

发明人： Oren Golan ,  Shmuel Kiro ,  Itshak Horovitz

IPC分类号： G06K9/48

CPC分类号： G06K9/00362 ,  G06K9/00281 ,  G06K9/4604 ,  G06K9/4609 ,  G06K9/522 ,  G06T5/00 ,  G06T7/13

摘要： A method executed by a computer system for detecting edges comprises receiving an image comprising a plurality of pixels, determining a phase congruency value for a pixel, where the phase congruency value comprises a plurality of phase congruency components, and determining if the phase congruency value satisfies a phase congruency criteria. If the phase congruency value satisfies the phase congruency criteria, the computer system categorizes the pixel as an edge pixel. If the phase congruency value does not satisfy the phase congruency criteria, the computer system compares a first phase congruency component of the plurality of phase congruency components to a phase congruency component criteria. If the first phase congruency component satisfies the phase congruency component criteria, the computer system categorizes the pixel as an edge pixel, and if the first phase congruency component does not satisfy the phase congruency component criteria, categorizes the pixel as a non-edge pixel.

摘要翻译： 由计算机系统执行的用于检测边缘的方法包括：接收包括多个像素的图像，确定像素的相位一致值，其中相位一致值包括多个相位一致分量，以及确定相位一致值是否满足 阶段一致性标准。 如果相位一致值满足相位一致性标准，则计算机系统将像素分类为边缘像素。 如果相位一致值不满足相位一致性标准，则计算机系统将多个相位一致分量的第一相位一致分量与相位一致分量标准进行比较。 如果第一相位一致性分量满足相位一致分量标准，则计算机系统将像素分类为边缘像素，并且如果第一相位一致分量不满足相位一致分量标准，则将像素分类为非边缘像素。

公开(公告)号：US08224028B1

公开(公告)日：2012-07-17

申请号：US12234927

申请日：2008-09-22

申请人： Oren Golan ,  Or Sheffet ,  Shmuel Kiro ,  Itshak Horovitz

发明人： Oren Golan ,  Or Sheffet ,  Shmuel Kiro ,  Itshak Horovitz

IPC分类号： G06K9/00

CPC分类号： G06K9/00778

摘要： A method for analyzing queues using video analytics is provided. The method includes receiving a video comprising a plurality of images of a scene. The scene includes a queue region and an operation region. The method also includes processing at least a first image of the plurality of images to determine an occurrence of a first event associated with the operation region, and processing at least a second image of the plurality of images to determine an occurrence of a second event associated with the operation region. The method further includes determining an operation time based on an amount of time between the first event and the second event, processing at least a third image of the plurality of images to determine a quantity of entities in the queue region, and determining a wait time based on the operation time and the quantity of entities in the queue region.

摘要翻译： 提供了使用视频分析来分析队列的方法。 该方法包括接收包括场景的多个图像的视频。 场景包括队列区域和操作区域。 所述方法还包括处理所述多个图像的至少第一图像以确定与所述操作区域相关联的第一事件的发生，以及处理所述多个图像中的至少第二图像以确定相关联的第二事件的发生 与操作区域。 该方法还包括基于第一事件和第二事件之间的时间量来确定操作时间，处理多个图像中的至少第三图像以确定队列区域中的实体的数量，以及确定等待时间 基于队列区域中的实体的操作时间和数量。