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公开(公告)号：US20130077828A1
公开(公告)日：2013-03-28
申请号：US13702679
申请日：2011-09-28
IPC分类号： G06K9/00
CPC分类号： G06K9/00624 , G06T7/254 , G06T2207/20224 , G06T2207/30212
摘要： Apparatus and method for processing a sequence of images of a scene, the method including: tracking a region of interest in the sequence of images (e.g. using a Self Adaptive Discriminant filter), selecting a particular image in the sequence, selecting a set of images from the sequence, the set of images including one or more images that precede the particular image in the sequence of images; and determining a value indicative of the level of change between the region of interest in the particular image and the regions of interest in the images in the set of images (e.g. using a Change Detection Process).
摘要翻译： 用于处理场景图像序列的装置和方法，所述方法包括：跟踪图像序列中的感兴趣区域（例如使用自适应判别滤波器），选择序列中的特定图像，选择一组图像 从该序列中，包括图像序列中的特定图像之前的一个或多个图像的图像集合; 以及确定指示特定图像中的感兴趣区域与图像集合中的图像中的感兴趣区域（例如使用变化检测处理）之间的变化程度的值。
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公开(公告)号：US08811672B2
公开(公告)日：2014-08-19
申请号：US13702679
申请日：2011-09-28
CPC分类号： G06K9/00624 , G06T7/254 , G06T2207/20224 , G06T2207/30212
摘要： Apparatus and method for processing a sequence of images of a scene, the method including: tracking a region of interest in the sequence of images (e.g. using a Self Adaptive Discriminant filter), selecting a particular image in the sequence, selecting a set of images from the sequence, the set of images including one or more images that precede the particular image in the sequence of images; and determining a value indicative of the level of change between the region of interest in the particular image and the regions of interest in the images in the set of images (e.g. using a Change Detection Process).
摘要翻译： 用于处理场景图像序列的装置和方法，所述方法包括：跟踪图像序列中的感兴趣区域（例如使用自适应判别滤波器），选择序列中的特定图像，选择一组图像 从该序列中，包括图像序列中的特定图像之前的一个或多个图像的图像集合; 以及确定指示所述特定图像中的感兴趣区域与所述图像集合中的图像中的感兴趣区域（例如使用变化检测处理）之间的变化水平的值。
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公开(公告)号：US08798320B2
公开(公告)日：2014-08-05
申请号：US13702689
申请日：2011-09-28
CPC分类号： G06K9/00624 , G06T7/254 , G06T2207/10024 , G06T2207/30181 , G06T2207/30232 , G06T2207/30248
摘要： Apparatus and method for processing a sequence of images of a scene, the method including: tracking a region of interest in the sequence of images (e.g. using a Self Adaptive Discriminant filter); selecting a particular image in the sequence; selecting a set of images from the sequence, the set having one or more images that precede the particular image in the sequence of images; for each pixel in the region of interest in the particular image, determining a value for a parameter; for each pixel in the region of interest of each image in the set of images, determining a value for the parameters; and comparing a function of the determined values for the region of interest in the particular image to a further function of the determined values for the regions of interest in the images in the set of images.
摘要翻译： 用于处理场景图像序列的装置和方法，所述方法包括：跟踪图像序列中的感兴趣区域（例如使用自适应判别滤波器）; 选择序列中的特定图像; 从序列中选择一组图像，该组具有在图像序列中的特定图像之前的一个或多个图像; 对于特定图像中的感兴趣区域中的每个像素，确定参数的值; 对于所述图像集合中的每个图像的感兴趣区域中的每个像素，确定参数的值; 以及将特定图像中的感兴趣区域的确定值的函数与所述图像集合中的图像中的感兴趣区域的确定值的另一函数进行比较。
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公开(公告)号：US20130083970A1
公开(公告)日：2013-04-04
申请号：US13702689
申请日：2011-09-28
IPC分类号： G06K9/00
CPC分类号： G06K9/00624 , G06T7/254 , G06T2207/10024 , G06T2207/30181 , G06T2207/30232 , G06T2207/30248
摘要： Apparatus and method for processing a sequence of images of a scene, the method including: tracking a region of interest in the sequence of images (e.g. using a Self Adaptive Discriminant filter); selecting a particular image in the sequence; selecting a set of images from the sequence, the set having one or more images that precede the particular image in the sequence of images; for each pixel in the region of interest in the particular image, determining a value for a parameter; for each pixel in the region of interest of each image in the set of images, determining a value for the parameters; and comparing a function of the determined values for the region of interest in the particular image to a further function of the determined values for the regions of interest in the images in the set of images.
摘要翻译： 用于处理场景图像序列的装置和方法，所述方法包括：跟踪图像序列中的感兴趣区域（例如使用自适应判别滤波器）; 选择序列中的特定图像; 从序列中选择一组图像，该组具有在图像序列中的特定图像之前的一个或多个图像; 对于特定图像中的感兴趣区域中的每个像素，确定参数的值; 对于所述图像集合中的每个图像的感兴趣区域中的每个像素，确定参数的值; 以及将特定图像中的感兴趣区域的确定值的函数与所述图像集合中的图像中的感兴趣区域的确定值的另一函数进行比较。
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公开(公告)号：US08121346B2
公开(公告)日：2012-02-21
申请号：US11910582
申请日：2007-06-08
IPC分类号： G06K9/00
CPC分类号： G06K9/6255 , G06K9/32
摘要： A method and system are disclosed for tracking a target imaged in video footage. The target may, for example, be a person moving through a crowd The method comprises the steps of: identifying a target in a first frame; generating a population of sub-templates by sampling from a template area defined around the target position; and searching for instances of the sub-templates in a second frame so as to locate the target in the second frame. Sub-templates whose instances are not consistent with the new target position are removed from the population and replaced by newly sampled sub-templates. The method can then be repeated so as to find the target in further frames. It can be implemented in a system comprising video imaging means, such as a CCTV camera, and processing means operable to carry out the method.
摘要翻译： 公开了一种用于跟踪在视频画面中成像的目标的方法和系统。 目标可以是例如通过人群移动的人。该方法包括以下步骤：识别第一帧中的目标; 通过从围绕目标位置定义的模板区域进行采样来生成子模板群; 以及在第二帧中搜索子模板的实例，以便在第二帧中定位目标。 其实例与新目标位置不一致的子模板将从群体中删除并替换为新采样的子模板。 然后可以重复该方法，以便在更多帧中找到目标。 它可以在包括诸如CCTV摄像机的视频成像装置和可操作以执行该方法的处理装置的系统中实现。
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公开(公告)号：US08391294B2
公开(公告)日：2013-03-05
申请号：US10581791
申请日：2006-03-15
IPC分类号： H04L12/28
CPC分类号： G01S13/723 , G01S13/878
摘要： A method for estimating a system state, in a decentralized network having a plurality of nodes, each node being confined for receiving and sending information, and for processing information. Each node being connected to neighboring nodes of the network. At each node the method includes: (i) maintaining a set of particles and associated weights, which represent an estimate of the system state, (ii) representing the estimated system state as a mixture of Gaussian distributions in a channel filter, and communicating the mixture to neighboring nodes, and (iii) a neighboring node receiving the mixture in a channel filter that contains a similar Gaussian representation of its own estimate of system state, and dividing the incoming mixture by the existing mixture, for updating the estimate of the system state that is maintained at the node.
摘要翻译： 一种用于在具有多个节点的分散网络中估计系统状态的方法，每个节点被限制用于接收和发送信息以及用于处理信息。 每个节点连接到网络的相邻节点。 在每个节点处，该方法包括：（i）维护一组粒子和相关权重，其表示系统状态的估计，（ii）将估计的系统状态表示为信道滤波器中的高斯分布的混合， 混合物到相邻节点，以及（iii）在通道滤波器中接收混合物的相邻节点，该信道滤波器包含其自己的系统状态估计的类似的高斯表示，并且将输入混合物除以现有混合物，以便更新系统的估计 在节点处维护的状态。
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公开(公告)号：US20130013551A1
公开(公告)日：2013-01-10
申请号：US13635562
申请日：2011-03-04
IPC分类号： G06N7/02
摘要： An apparatus and method are disclosed for analysing a process. An exemplary method includes: generating a process template; and determining a probabilistic model specifying the process template. The method can include use of task nodes for tasks of the process; observables nodes for observables that may be caused by performance of the tasks; and a background activities node, wherein observables may further be caused by background activities of the background node. The method can include use of task nodes for tasks of the process; observables nodes for observables that may be caused by performance of the tasks; and a background activities node, observables may further be caused by background activities of the background node. The method can include measuring values of an observable corresponding to one of the observables nodes; and updating a probabilistic estimate of the process state using the measured values.
摘要翻译： 公开了一种用于分析过程的装置和方法。 示例性方法包括：生成过程模板; 以及确定指定所述过程模板的概率模型。 该方法可以包括使用任务节点来处理该过程的任务; 可观察的可观察的节点，可能由执行任务引起; 以及背景活动节点，其中可观测资料还可以由背景节点的背景活动引起。 该方法可以包括使用任务节点来处理该过程的任务; 可观察的可观察的节点，可能由执行任务引起; 和背景活动节点，可观测资料还可能由背景节点的背景活动引起。 该方法可以包括测量与可观察节点之一相对应的观测值的值; 以及使用所述测量值来更新所述过程状态的概率估计。
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公开(公告)号：US20090310820A1
公开(公告)日：2009-12-17
申请号：US11910582
申请日：2007-06-08
IPC分类号： G06K9/00
CPC分类号： G06K9/6255 , G06K9/32
摘要： A method and system are disclosed for tracking a target imaged in video footage. The target may, for example, be a person moving through a crowd The method comprises the steps of: identifying a target in a first frame; generating a population of sub-templates by sampling from a template area defined around the target position; and searching for instances of the sub-templates in a second frame so as to locate the target in the second frame. Sub-templates whose instances are not consistent with the new target position are removed from the population and replaced by newly sampled sub-templates. The method can then be repeated so as to find the target in further frames. It can be implemented in a system comprising video imaging means, such as a CCTV camera, and processing means operable to carry out the method.
摘要翻译： 公开了一种用于跟踪在视频画面中成像的目标的方法和系统。 目标可以是例如通过人群移动的人。该方法包括以下步骤：识别第一帧中的目标; 通过从围绕目标位置定义的模板区域进行采样来生成子模板群; 以及在第二帧中搜索子模板的实例，以便在第二帧中定位目标。 其实例与新目标位置不一致的子模板将从群体中删除并替换为新采样的子模板。 然后可以重复该方法，以便在更多帧中找到目标。 它可以在包括诸如CCTV摄像机的视频成像装置和可操作以执行该方法的处理装置的系统中实现。
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9.发明申请GENERATING AN INDICATION OF A PROBABILITY OF A HYPOTHESIS BEING CORRECT BASED ON A SET OF OBSERVATIONS 审中-公开根据一组观察结果，产生一个正确的概率的指示公开(公告)号：US20130006580A1
公开(公告)日：2013-01-03
申请号：US13636635
申请日：2011-03-04
IPC分类号： G06F17/18
CPC分类号： G06Q10/00
摘要： A method of generating an indication of a probability of a hypothesis being correct based on a set of observations includes obtaining data representing first and second sets of observations. Data representing a set of hypotheses at least partially derivable from the first and the second set of observations can also be obtained. Plural data associations can be generated between at least some data in the first and second sets to indicate a probability of at least some of the generated data associations being correct. The data representing the set of hypotheses and the indication of the probability of at least some of the generated data associations being correct can be used to generate an indication of a probability of at least one of the hypotheses represented by the data being correct.
摘要翻译： 基于一组观察值生成假设正确概率的指示的方法包括获得表示第一组和第二组观察值的数据。 还可以获得表示至少部分地可从第一组和第二组观察得到的一组假设的数据。 可以在第一和第二组中的至少一些数据之间生成多个数据关联，以指示生成的数据关联中的至少一些的概率是正确的。 表示假设集合的数据和至少一些所生成的数据关联的概率的指示是正确的，可用于生成由数据表示的至少一个假设的概率的指示。
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公开(公告)号：US20120053914A1
公开(公告)日：2012-03-01
申请号：US13319926
申请日：2010-05-13
IPC分类号： G06F17/10
CPC分类号： G06K9/00496 , G01S7/539 , G01S15/88 , G06K9/6268
摘要： A method and apparatus for selecting a value or change in value of a measurement variable for an observation of an object, comprising: receiving models for the object defined in terms of an observation parameter and a measurement variable; selecting values of the measurement variable; for each model, determining a value of the observation parameter for each selected value; for each selected value, determining a value of an expected classification potential level using the determined values; and selecting a value of the measurement variable dependent upon the potential level values; wherein the potential level is an expected level of: the information or lack of information, and/or the certainty or uncertainty, with which the object could be classified if a measurement of the observation parameter were taken of the object at the respective value of the measurement variable.
摘要翻译： 一种用于选择用于观察物体的测量变量的值或值的变化的方法和装置，包括：接收根据观测参数和测量变量定义的对象的模型; 选择测量变量的值; 对于每个模型，确定每个所选值的观测参数的值; 对于每个所选值，使用所确定的值确定预期分类电位电平的值; 以及根据所述潜在水平值选择所述测量变量的值; 其中所述潜在水平是预期水平：所述信息或缺乏信息，和/或所述确定性或不确定性，如果以所述对象的相应值对所述对象进行所述观察参数的测量，则可以对其进行分类 测量变量。
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