公开(公告)号：US20100177936A1

公开(公告)日：2010-07-15

申请号：US12666923

申请日：2008-06-06

申请人： Julia Ebling ,  Hartmut Loos ,  Matthias Koenig

发明人： Julia Ebling ,  Hartmut Loos ,  Matthias Koenig

IPC分类号： G06K9/00 ,  H04N7/18

CPC分类号： G06K9/00778

摘要： The invention relates to video surveillance systems that are used, for example, for surveying public places, stations, streets, industrial estates, buildings or similar. Said video surveillance systems comprise one or more surveillance cameras that are oriented towards surveillance scenes and transfer image data streams, in the form of image sequences, to an evaluation centre. The invention also relates to a device (1) for identifying and/or classifying a movement pattern in an image sequence of a surveillance scene comprising a plurality of moving objects, an interface (2) for recording the image sequence, a calculation module (5) for determining an optical flow field (10) in the surveillance scene by evaluating the image sequence and an identification module (6) that is designed in terms of programming and/or circuitry such that the optical field and/or partial areas thereof are compared to one or more patterns in order to identify the movement pattern in the image sequence.

摘要翻译： 本发明涉及例如用于测量公共场所，车站，街道，工业区，建筑物或类似物的视频监控系统。 所述视频监控系统包括面向监视场景的一个或多个监视摄像机，并以图像序列的形式将图像数据流传送到评估中心。 本发明还涉及一种用于识别和/或分类包括多个运动对象的监视场景的图像序列中的运动模式的装置（1），用于记录图像序列的接口（2），计算模块（5） ），用于通过评估所述图像序列来确定所述监视场景中的光流场（10），以及根据编程和/或电路设计的识别模块（6），使得所述光场和/或其部分区域被比较 到一个或多个图案以便识别图像序列中的移动模式。

公开(公告)号：US08761436B2

公开(公告)日：2014-06-24

申请号：US12666923

申请日：2008-06-06

申请人： Julia Ebling ,  Hartmut Loos ,  Matthias Koenig

发明人： Julia Ebling ,  Hartmut Loos ,  Matthias Koenig

IPC分类号： G06K9/00 ,  H04N7/18

CPC分类号： G06K9/00778

摘要： The invention relates to video surveillance systems that are used, for example, for surveying public places, stations, streets, industrial estates, buildings or similar. Said video surveillance systems comprise one or more surveillance cameras that are oriented towards surveillance scenes and transfer image data streams, in the form of image sequences, to an evaluation center. The invention also relates to a device (1) for identifying and/or classifying a movement pattern in an image sequence of a surveillance scene comprising a plurality of moving objects, an interface (2) for recording the image sequence, a calculation module (5) for determining an optical flow field (10) in the surveillance scene by evaluating the image sequence and an identification module (6) that is designed in terms of programming and/or circuitry such that the optical field and/or partial areas thereof are compared to one or more patterns in order to identify the movement pattern in the image sequence.

摘要翻译： 本发明涉及例如用于测量公共场所，车站，街道，工业区，建筑物或类似物的视频监控系统。 所述视频监控系统包括面向监视场景的一个或多个监视摄像机，并以图像序列的形式将图像数据流传送到评估中心。 本发明还涉及一种用于识别和/或分类包括多个运动对象的监视场景的图像序列中的运动模式的装置（1），用于记录图像序列的接口（2），计算模块（5） ），用于通过评估所述图像序列来确定所述监视场景中的光流场（10），以及根据编程和/或电路设计的识别模块（6），使得所述光场和/或其部分区域被比较 到一个或多个图案以便识别图像序列中的移动模式。

公开(公告)号：US08855364B2

公开(公告)日：2014-10-07

申请号：US13391356

申请日：2010-07-02

申请人： Hartmut Loos ,  Julia Ebling ,  Christof Krueger

发明人： Hartmut Loos ,  Julia Ebling ,  Christof Krueger

IPC分类号： G06K9/00 ,  H04N5/225

CPC分类号： G06K9/00778

摘要： In daily life, people are often forced to join a queue in order, for example, to pay at a checkout or to be dealt with at an airport, etc. Because of the various forms of a queue, these are not usually recorded automatically, but are analyzed manually. For example, if a long queue is formed at a supermarket, as a result of which the predicted waiting time for the customers rises above a threshold value, this situation can be identified by the checkout personnel, and a further checkout can be opened. A device 1 is proposed for identification of a queue 2 of objects 10 in a monitoring area, having an interface 6 which can be connected to an image source 7, with the interface 6 being designed to observe at least one monitoring image 3 of the monitoring area of the image source, wherein the monitoring image 3 shows a scene background of the monitoring area with possible objects 10, having an evaluation device 5 which is designed to identify the queue 2 of the objects 10 in the at least one monitoring image, wherein the evaluation device 5 has an object detector module 8 which is designed to detect a plurality of objects 10 on the basis of the monitoring image 3, wherein the plurality of the detected objects 10 forms the basis for identification of the queue 2 of the objects 10, wherein the object detector module 8 is designed to identify the objects 8 in the monitoring image with the scene background and/or wherein the object detector module 8 has content-sensitive detectors 9 for detection of the objects 10.

摘要翻译： 在日常生活中，人们常常被迫加入队伍，例如在结帐时付款或在机场处理等。由于队列的各种形式，通常不会自动记录， 但是手动分析。 例如，如果在超市形成长队列，结果预测的客户等待时间上升到阈值以上，则可以由结账人员识别出这种情况，并且可以打开进一步的结帐。 提出了一种用于识别监视区域中的对象10的队列2的设备1，其具有可以连接到图像源7的接口6，其中接口6被设计为观察监视的至少一个监视图像3 图像源的区域，其中监视图像3示出具有可能对象10的监视区域的场景背景，具有评估设备5，其被设计为识别所述至少一个监视图像中的对象10的队列2，其中 评估装置5具有被设计为基于监视图像3检测多个对象10的对象检测器模块8，其中，多个检测对象10形成用于识别对象10的队列2的基础 其中物体检测器模块8设计成用场景背景来识别监视图像中的对象8，和/或其中物体检测器模块8具有用于det的内容敏感检测器9 对象10。

公开(公告)号：US20100202688A1

公开(公告)日：2010-08-12

申请号：US12694824

申请日：2010-01-27

申请人： Jie Yu ,  Julia Ebling ,  Hartmut Loos

发明人： Jie Yu ,  Julia Ebling ,  Hartmut Loos

IPC分类号： G06K9/34 ,  H04N7/18

CPC分类号： G06T7/215 ,  G06T7/11 ,  G06T7/187 ,  G06T2207/10016 ,  G06T2207/30261

摘要： A device for segmenting an object in an image, in which a surveillance region containing one or more objects is depicted or depictable in image, has an estimating module which is designed to estimate a distance in the surveillance region based on a possible object pixel of object in image, a segmenting module which is designed to segment object containing object pixel according to a segmentation strategy, and a strategy module which is programmed and/or electronically configured to adapt the segmentation strategy to object depending on the estimated distance.

摘要翻译： 用于分割图像中的对象的装置，其中包含一个或多个对象的监视区域在图像中被描绘或可描绘，具有估计模块，其被设计为基于对象的可能对象像素来估计监视区域中的距离 一种分割模块，其被设计为根据分割策略来分割包含对象像素的对象，以及策略模块，其被编程和/或电子地配置为根据所估计的距离来使分割策略适应对象。

公开(公告)号：US20090060276A1

公开(公告)日：2009-03-05

申请号：US12202556

申请日：2008-09-02

申请人： Jie Yu ,  Julia Ebling ,  Hartmut Loos

发明人： Jie Yu ,  Julia Ebling ,  Hartmut Loos

IPC分类号： G06K9/00

CPC分类号： G06K9/00771 ,  G08B13/19606 ,  G08B13/19608

摘要： A method for detection and/or tracking of objects in motion 16 in a scene under surveillance 15, in which besides the objects in motion 16, interfering objects and/or interfering regions—both hereinafter called interfering factors 17, 23—can occur, is proposed, in which the scene under surveillance 15, a plurality of regions are defined that are divided up into various region classes; and a first region class D1, 5 includes sensitive regions, in which no and/or only insignificant interfering factors 17, 23 are located and/or are to be expected; and for detection and/or tracking of the objects in motion 16 in the sensitive regions, a sensitive content analysis is performed, and a second region class D2, 6 includes semi-sensitive regions 19, in which interfering factors 17, 23 are located and/or are to be expected, and for detection and/or tracking of the objects in motion 16 in the semi-sensitive regions 19, a semi-sensitive content analysis is performed, which is limited and/or modified compared to the sensitive content analysis.

摘要翻译： 一种用于检测和/或跟踪在监视15中的场景中的运动物体16的方法，其中除了运动中的物体16，干扰物体和/或干扰区域（以下称为干扰因素17,23）可以发生， 提出，在监控场景15中，定义了划分为各种区域类别的多个区域; 并且第一区域类别D1,5包括其中没有和/或仅仅不显着的干扰因子17,23位于和/或预期的敏感区域; 并且为了检测和/或跟踪敏感区域中的运动对象16，执行敏感内容分析，第二区域类别D2,6包括干扰因素17,23所在的半敏感区域19，以及 或预期的，并且为了检测和/或跟踪半敏感区域19中的运动对象16，执行与敏感内容分析相比被限制和/或修改的半敏感内容分析 。

公开(公告)号：US08879786B2

公开(公告)日：2014-11-04

申请号：US12202556

申请日：2008-09-02

申请人： Jie Yu ,  Julia Ebling ,  Hartmut Loos

发明人： Jie Yu ,  Julia Ebling ,  Hartmut Loos

IPC分类号： G06K9/00 ,  G08B13/196

CPC分类号： G06K9/00771 ,  G08B13/19606 ,  G08B13/19608

摘要： A method for detection and/or tracking of objects in motion 16 in a scene under surveillance 15, in which besides the objects in motion 16, interfering objects and/or interfering regions—both hereinafter called interfering factors 17, 23—can occur, is proposed, in which the scene under surveillance 15, a plurality of regions are defined that are divided up into various region classes; and a first region class D1, 5 includes sensitive regions, in which no and/or only insignificant interfering factors 17, 23 are located and/or are to be expected; and for detection and/or tracking of the objects in motion 16 in the sensitive regions, a sensitive content analysis is performed, and a second region class D2, 6 includes semi-sensitive regions 19, in which interfering factors 17, 23 are located and/or are to be expected, and for detection and/or tracking of the objects in motion 16 in the semi-sensitive regions 19, a semi-sensitive content analysis is performed, which is limited and/or modified compared to the sensitive content analysis.

摘要翻译： 一种用于检测和/或跟踪在监视15中的场景中的运动物体16的方法，其中除了运动中的物体16，干扰物体和/或干扰区域（以下称为干扰因素17,23）可以发生， 提出，在监控场景15中，定义了划分为各种区域类别的多个区域; 并且第一区域类别D1,5包括其中没有和/或仅仅不显着的干扰因子17,23位于和/或预期的敏感区域; 并且为了检测和/或跟踪敏感区域中的运动对象16，执行敏感内容分析，第二区域类别D2,6包括干扰因素17,23所在的半敏感区域19，以及 或预期的，并且为了检测和/或跟踪半敏感区域19中的运动对象16，执行与敏感内容分析相比被限制和/或修改的半敏感内容分析 。

公开(公告)号：US20120207350A1

公开(公告)日：2012-08-16

申请号：US13391356

申请日：2010-07-02

申请人： Hartmut Loos ,  Julia Ebling ,  Christof Krueger

发明人： Hartmut Loos ,  Julia Ebling ,  Christof Krueger

IPC分类号： G06K9/62

CPC分类号： G06K9/00778

摘要： In daily life, people are often forced to join a queue in order, for example, to pay at a checkout or to be dealt with at an airport, etc. Because of the various forms of a queue, these are not usually recorded automatically, but are analyzed manually. For example, if a long queue is formed at a supermarket, as a result of which the predicted waiting time for the customers rises above a threshold value, this situation can be identified by the checkout personnel, and a further checkout can be opened. A device 1 is proposed for identification of a queue 2 of objects 10 in a monitoring area, having an interface 6 which can be connected to an image source 7, with the interface 6 being designed to observe at least one monitoring image 3 of the monitoring area of the image source, wherein the monitoring image 3 shows a scene background of the monitoring area with possible objects 10, having an evaluation device 5 which is designed to identify the queue 2 of the objects 10 in the at least one monitoring image, wherein the evaluation device 5 has an object detector module 8 which is designed to detect a plurality of objects 10 on the basis of the monitoring image 3, wherein the plurality of the detected objects 10 forms the basis for identification of the queue 2 of the objects 10, wherein the object detector module 8 is designed to identify the objects 8 in the monitoring image with the scene background and/or wherein the object detector module 8 has content-sensitive detectors 9 for detection of the objects 10.

摘要翻译： 在日常生活中，人们常常被迫加入队伍，例如在结帐时付款或在机场处理等。由于队列的各种形式，通常不会自动记录， 但是手动分析。 例如，如果在超市形成长队列，结果预测的客户等待时间上升到阈值以上，则可以由结账人员识别出这种情况，并且可以打开进一步的结帐。 提出了一种用于识别监视区域中的对象10的队列2的设备1，其具有可以连接到图像源7的接口6，其中接口6被设计为观察监视的至少一个监视图像3 图像源的区域，其中监视图像3示出具有可能对象10的监视区域的场景背景，具有评估设备5，其被设计为识别所述至少一个监视图像中的对象10的队列2，其中 评估装置5具有被设计为基于监视图像3检测多个对象10的对象检测器模块8，其中，多个检测对象10形成用于识别对象10的队列2的基础 其中物体检测器模块8设计成用场景背景来识别监视图像中的对象8，和/或其中物体检测器模块8具有用于det的内容敏感检测器9 对象10。

公开(公告)号：US09025033B2

公开(公告)日：2015-05-05

申请号：US12089469

申请日：2007-06-14

申请人： Wolfgang Niem ,  Wolfgang Niehsen ,  Hartmut Loos

发明人： Wolfgang Niem ,  Wolfgang Niehsen ,  Hartmut Loos

IPC分类号： H04N5/225 ,  H04N5/232 ,  H04N7/00 ,  H04N17/00 ,  G06T7/00 ,  G08B13/196 ,  H04N7/18

CPC分类号： G06T7/0018 ,  G06T7/80 ,  G08B13/19656 ,  G08B13/19663 ,  H04N7/181

摘要： A surveillance camera is positioned and positionable at a stationary surveillance position for monitoring. The surveillance camera has a calibration tool that is constructed or configured for ascertaining the stationary surveillance position of the surveillance camera.

摘要翻译： 监视摄像机定位和定位在静止的监视位置进行监视。 监视摄像机具有构造或配置用于确定监视摄像机的静止监视位置的校准工具。

公开(公告)号：US20110175738A1

公开(公告)日：2011-07-21

申请号：US13062047

申请日：2009-08-17

申请人： Axel Baumann ,  Hartmut Loos ,  Jan Karl Warzelhan

发明人： Axel Baumann ,  Hartmut Loos ,  Jan Karl Warzelhan

IPC分类号： G08B17/00 ,  G08B21/00

CPC分类号： G07C9/00166 ,  G08B13/19608

摘要： The invention relates to a monitoring system (1) for detecting and/or tracking at least one moving monitoring object (4) in a monitoring area (2), having a plurality of monitoring sensors (6) which are and/or can be spatially distributed in the monitoring area (2) and which are designed to detect the monitoring object (4) and to output detected object information, having a signature lock (8a, b, c, d) having at least one signature sensor (9) which is designed and/or arranged to detect the monitoring object (4) and to output object signature information, having an evaluation device (10) which is designed to create and/or add to an object signature (16) of the monitoring object (4) based on the object signature information and to detect and/or track the monitoring object (4) by comparing detected object information to the object signature (16) of the monitoring object (4), wherein the signature lock (8a, b, c, d) comprises at least two signature sensors (9) and is designed in such a way that the object signature information of the at least two signature sensors (9) can be associated with the monitoring object distinctly and/or unmistakably.

摘要翻译： 本发明涉及一种用于检测和/或跟踪监测区域（2）中的至少一个移动监测对象（4）的监测系统（1），其具有多个监测传感器（6），其具有和/或可以在空间上 分布在所述监视区域（2）中，并且被设计为检测所述监视对象（4）并且输出检测到的对象信息，具有具有至少一个签名传感器（9）的签名锁（8a，b，c，d） 被设计和/或布置成检测监视对象（4）并输出对象签名信息，具有评估设备（10），该评估设备被设计为创建和/或添加到监视对象（4）的对象签名（16） ），并且通过将检测到的对象信息与监视对象（4）的对象签名（16）进行比较来检测和/或跟踪监视对象（4），其中，签名锁（8a，b，c ，d）包括至少两个签名传感器（9），并以这种方式设计 所述至少两个签名传感器（9）的对象签名信息可以明确地和/或明确地与监视对象相关联。

公开(公告)号：US20080112595A1

公开(公告)日：2008-05-15

申请号：US11837092

申请日：2007-08-10

申请人： Hartmut Loos

发明人： Hartmut Loos

IPC分类号： G06K9/00

CPC分类号： G06K9/00778 ,  G06T7/215 ,  G06T7/269

摘要： Video surveillance systems are used for monitoring such areas as streets, railroad stations, industrial plants, buildings, or squares with video cameras, and on the basis of the sequences of images recorded with the video cameras, discovering anomalies in the monitored areas. A method for detecting image regions that are conspicuous in terms of the movement in them in a sequence of images of a scene and a corresponding apparatus and computer program are proposed, in which a current optical flow field in the sequence of images is calculated that includes motion vectors of image regions of the scene; an optical main flow field is determined that includes main flow directions of image regions of the scene; and a counterflow field with motion vectors of image regions that are conspicuous in terms of the movement in them is formed from image regions of the scene whose motion vectors are oriented differently from the main flow directions.

摘要翻译： 视频监控系统用于监控诸如街道，火车站，工厂，建筑物或具有摄像机的正方形的区域，并且基于用摄像机记录的图像序列，发现监视区域的异常。 提出了一种用于检测在场景的图像序列中的移动显着的图像区域的方法以及相应的装置和计算机程序，其中计算图像序列中的当前光流场，其包括 场景图像区域的运动矢量; 确定包括场景的图像区域的主流向的光学主流场; 并且具有与其中的移动相关的图像区域的运动矢量的逆流场由其运动矢量与主流动方向不同的场景的图像区域形成。