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公开(公告)号：US08675917B2
公开(公告)日：2014-03-18
申请号：US13285354
申请日：2011-10-31
CPC分类号： G06K9/00369 , G06K9/626 , G06K9/6857
摘要： Methods and apparatus are provided for improved abandoned object recognition using pedestrian detection. An abandoned object is detected in one or more images by determining if one or more detected objects in a foreground of the images comprises a potential abandoned object; applying a trained pedestrian detector to the potential abandoned object to determine if the potential abandoned object comprises at least a portion of a pedestrian; and classifying the potential abandoned object as an abandoned object based on whether the potential abandoned object is not at least a portion of a pedestrian. The trained pedestrian detector is trained using positive training samples comprised of at least portions of human bodies in one or more poses and/or negative training samples comprised of at least portions of abandoned objects.
摘要翻译： 提供了使用行人检测改进废弃物识别的方法和装置。 通过确定图像的前景中的一个或多个检测到的对象是否包括潜在废弃对象，在一个或多个图像中检测到废弃物体; 将经过训练的行人检测器应用于潜在废弃物体以确定潜在废弃物体是否包括行人的至少一部分; 并且基于潜在废弃物体是否不是行人的至少一部分，将潜在废弃物体分类为废弃物体。 训练有素的行人检测器使用由至少部分被遗弃物体组成的一个或多个姿势和/或负训练样本中的人体的至少部分组成的训练有素的训练样本进行训练。
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公开(公告)号：US08532336B2
公开(公告)日：2013-09-10
申请号：US12857755
申请日：2010-08-17
申请人： Russell P. Bobbitt , Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Yun Zhai
发明人： Russell P. Bobbitt , Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Yun Zhai
IPC分类号： G06K9/00
CPC分类号： G06T7/254 , G06K9/00536 , G06K9/00771 , G06K9/4647 , G06K9/6212 , G06T7/20 , G06T7/74 , G06T7/97 , G06T2207/10016 , G06T2207/20224 , G06T2207/30232 , H04N7/18
摘要： Multi-mode video event indexing includes determining a quality of object distinctiveness with respect to images from a video stream input. A high-quality analytic mode is selected from multiple modes and applied to video input images via a hardware device to determine object activity within the video input images if the determined level of detected quality of object distinctiveness meets a threshold level of quality, else a low-quality analytic mode is selected and applied to the video input images via a hardware device to determine object activity within the video input images, wherein the low-quality analytic mode is different from the high-quality analytic mode.
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公开(公告)号：US08515127B2
公开(公告)日：2013-08-20
申请号：US12845121
申请日：2010-07-28
IPC分类号： G06K9/00
CPC分类号： G06K9/00624 , G06K9/00771 , G06K9/2018 , G06K9/4614 , G06K9/6256
摘要： Techniques for detecting an attribute in video surveillance include generating training sets of multispectral images, generating a group of multispectral box features comprising receiving input of a detector size of a width and height, a number of spectral bands in the multispectral images, and integer values representing a minimum and maximum width and height of multispectral box features, fixing a feature width and height, generating feature building blocks with the fixed width and height, placing a feature building block at a same location for each spectral band level, and enumerating combinations of the feature building blocks through each spectral level until all sizes within the integer values have been covered, and wherein each combination determines a multispectral box feature, using the training sets to select multispectral box features to generate a multispectral attribute detector, and using the multispectral attribute detector to identify a location of an attribute in video surveillance.
摘要翻译： 用于检测视频监控中的属性的技术包括生成多光谱图像的训练集，生成一组多光谱特征，包括接收宽度和高度的检测器大小的输入，多光谱图像中的光谱带的数量，以及表示 多光谱盒特征的最小和最大宽度和高度，固定特征宽度和高度，生成具有固定宽度和高度的特征构建块，将特征构建块放置在每个光谱带级的相同位置，并列举 通过每个光谱级别的特征构建块，直到整数值中的所有大小被覆盖，并且其中每个组合确定多光谱特征，使用训练集选择多光谱特征以产生多光谱属性检测器，并使用多光谱属性检测器 识别视频中属性的位置 监视。
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公开(公告)号：US08457355B2
公开(公告)日：2013-06-04
申请号：US13101401
申请日：2011-05-05
CPC分类号： G06T7/20 , G06K9/00208 , G06T7/251 , G06T13/20 , G06T17/00 , G06T19/006
摘要： A moving object detected and tracked within a field of view environment of a 2D data feed of a calibrated video camera is represented by a 3D model through localizing a centroid of the object and determining an intersection with a ground-plane within the field of view environment. An appropriate 3D mesh-based volumetric model for the object is initialized by using a back-projection of a corresponding 2D image as a function of the centroid and the determined ground-plane intersection. Nonlinear dynamics of a tracked motion path of the object are represented as a collection of different local linear models. A texture of the object is projected onto the 3D model, and 2D tracks of the object are upgraded to 3D motion to drive the 3D model by learning a weighted combination of the different local linear models that minimizes an image re-projection error of model movement.
摘要翻译： 在校准摄像机的2D数据馈送的视野环境内检测和跟踪的移动物体由3D模型表示，其通过定位对象的质心并确定视场环境内的接地平面的交点 。 通过使用对应的2D图像的反投影作为质心和确定的地面交点的函数来初始化用于对象的适当的基于3D网格的体积模型。 对象的跟踪运动路径的非线性动力学被表示为不同局部线性模型的集合。 将对象的纹理投影到3D模型上，并且将对象的2D轨迹升级到3D运动，以通过学习不同局部线性模型的加权组合来驱动3D模型，从而最小化模型运动的图像重新投影误差 。
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公开(公告)号：US20130108102A1
公开(公告)日：2013-05-02
申请号：US13285354
申请日：2011-10-31
IPC分类号： G06K9/62
CPC分类号： G06K9/00369 , G06K9/626 , G06K9/6857
摘要： Methods and apparatus are provided for improved abandoned object recognition using pedestrian detection. An abandoned object is detected in one or more images by determining if one or more detected objects in a foreground of the images comprises a potential abandoned object; applying a trained pedestrian detector to the potential abandoned object to determine if the potential abandoned object comprises at least a portion of a pedestrian; and classifying the potential abandoned object as an abandoned object based on whether the potential abandoned object is not at least a portion of a pedestrian. The trained pedestrian detector is trained using positive training samples comprised of at least portions of human bodies in one or more poses and/or negative training samples comprised of at least portions of abandoned objects.
摘要翻译： 提供了使用行人检测改进废弃物识别的方法和装置。 通过确定图像的前景中的一个或多个检测到的对象是否包括潜在废弃对象，在一个或多个图像中检测到废弃物体; 将经过训练的行人检测器应用于潜在废弃物体以确定潜在废弃物体是否包括行人的至少一部分; 并且基于潜在废弃物体是否不是行人的至少一部分，将潜在废弃物体分类为废弃物体。 训练有素的行人检测器使用由至少部分被遗弃物体组成的一个或多个姿势和/或负训练样本中的人体的至少部分组成的训练有素的训练样本进行训练。
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公开(公告)号：US08655016B2
公开(公告)日：2014-02-18
申请号：US13194032
申请日：2011-07-29
CPC分类号： G06K9/00771 , G06F17/30781 , G06K9/4652
摘要： Methods and apparatus are provided for example-based object retrieval that can retrieve objects from video images in real-time. An object of interest is identified in a sequence of images by obtaining an identification from a user of an example object having at least one attribute of interest; generating a query object based on the identified example object, wherein the query object has a substantially similar viewpoint as objects in the sequence of images and wherein the query object comprises a plurality of attributes that are substantially similar as the example object; and processing the sequence of images to identify the object of interest based on a similarity metric to the query object.
摘要翻译： 提供了可以实时地从视频图像中检索对象的基于示例的对象检索的方法和装置。 通过从具有至少一个感兴趣的属性的示例对象的用户获得标识来在图像序列中识别感兴趣的对象; 基于所识别的示例对象生成查询对象，其中所述查询对象具有与所述图像序列中的对象大致相似的视点，并且其中所述查询对象包括与所述示例对象基本相似的多个属性; 以及基于与查询对象的相似性度量来处理图像序列以识别感兴趣的对象。
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公开(公告)号：US08152587B1
公开(公告)日：2012-04-10
申请号：US12653439
申请日：2009-12-14
申请人： Lisa M. Brown
发明人： Lisa M. Brown
IPC分类号： A63H3/00
摘要： A novelty toy having a body with a concealed basket compartment creating a cavity to house, store, secure, and conceal novelty items. The toy further includes a detachable cover to conceal the cavity when the cover is attached to the body and reveal the cavity when removed. The novelty toy also includes a removably changeable housing insert assembly embedded within the cavity having several attachment components which include a light source, a changeable housing insert template, a changeable inner insert template, an insert cover template and an insert ramp accessory. The cavity and insert assembly is used to display, store, house, secure templates with indicia including but not limited to arts and crafts, traditional family, learning and sport activity games. The toy body may be in the form of an animal-like, humanoid, holiday figure, mascot, icon or any characters attracted, known or recognizable to children or adults.
摘要翻译： 一种新颖的玩具，它具有一个带有隐藏的篮子隔间的身体，形成一个用于容纳，存储，固定和隐藏新奇物品的空腔。 玩具还包括可拆卸的盖，以在盖被附接到主体时隐藏空腔，并且在移除时露出空腔。 新颖的玩具还包括可拆卸地改变的壳体插入组件，其嵌入在腔体内，具有多个附接部件，其包括光源，可更换的壳体插入模板，可更换的内部插入模板，插入盖模板和插入斜坡附件。 空腔和插入组件用于显示，存储，存放，保存具有标记的模板，包括但不限于艺术和手工艺，传统家庭，学习和运动活动游戏。 玩具身体可以是动物般的，类人动物，假日人物，吉祥物，图标或被儿童或成年人所知晓或识别的任何角色的形式。
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公开(公告)号：US20100106707A1
公开(公告)日：2010-04-29
申请号：US12260418
申请日：2008-10-29
申请人： Lisa M. Brown , Raymond A. Cooke , Rogerio S. Feris , Arun Hampapur , Frederik C. M. Kjeldsen , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Ying-li Tian , Yun Zhai , Zuoxuan Lu
发明人： Lisa M. Brown , Raymond A. Cooke , Rogerio S. Feris , Arun Hampapur , Frederik C. M. Kjeldsen , Christopher S. Milite , Stephen R. Russo , Chiao-Fe Shu , Ying-li Tian , Yun Zhai , Zuoxuan Lu
CPC分类号： G06F17/30793 , G06K9/6254
摘要： An approach that indexes and searches according to a set of attributes of a person is provided. In one embodiment, there is an extensible indexing and search tool, including an extraction component configured to extract a set of attributes of a person monitored by a set of sensors in a zone of interest. An index component is configured to index each of the set of attributes of the person within an index of an extensible indexing and search tool. A search component is configured to enable a search of the index of the extensible indexing and search tool according to at least one of the set of attributes of the person.
摘要翻译： 提供了一种根据人的一组属性进行索引和搜索的方法。 在一个实施例中，存在可扩展索引和搜索工具，其包括提取组件，其被配置为提取由感兴趣区域中的一组传感器监视的人的一组属性。 索引组件被配置为对可扩展索引和搜索工具的索引内的人的一组属性进行索引。 搜索组件被配置为根据人的一组属性中的至少一个来启用对可扩展索引和搜索工具的索引的搜索。
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公开(公告)号：US20100013656A1
公开(公告)日：2010-01-21
申请号：US12176538
申请日：2008-07-21
申请人： Lisa M. Brown , Arun Hampapur , Andrew W. Senior , Chiao-Fe Shu , Ying-li Tian
发明人： Lisa M. Brown , Arun Hampapur , Andrew W. Senior , Chiao-Fe Shu , Ying-li Tian
IPC分类号： G08B21/00
CPC分类号： G08B13/19613
摘要： A solution for monitoring an area includes using a region schema for the area. The region schema can include a set of prototypical tracks, each of which includes a start location, an end location, and a trajectory. The trajectory comprises an expected path an object will travel between the start location and the end location and can include variation information that defines an amount that an object can vary from the trajectory. The region schema can be generated by obtaining training object tracking data for the area for an initialization time period and evaluating the object tracking data to identify the set of prototypical tracks. While monitoring the area, monitored object tracking data is obtained for a monitored object in the area, and abnormal behavior of the monitored object is identified when the monitored object tracking data for the monitored object does not follow at least one of the set of prototypical tracks in the region schema.
摘要翻译： 用于监视区域的解决方案包括为区域使用区域模式。 区域模式可以包括一组原型轨道，每个轨道包括起始位置，终点位置和轨迹。 轨迹包括对象将在起始位置和结束位置之间行进的预期路径，并且可以包括定义对象可以从轨迹变化的量的变化信息。 可以通过获取用于初始化时间段的区域的训练对象跟踪数据并且评估对象跟踪数据来识别该组原型轨迹来生成区域模式。 在监视该区域时，为该区域中被监视对象获得被监视对象跟踪数据，并且当监视对象的被监视对象跟踪数据不遵循该组原型轨道中的至少一个时，监视对象的异常行为被识别 在区域模式。
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公开(公告)号：US20090033746A1
公开(公告)日：2009-02-05
申请号：US11830093
申请日：2007-07-30
申请人： Lisa M. Brown , Jonathan H. Connell, II , Arun Hampapur , Andrew W. Senior , Chiao-Fe Shu , Ying-Li Tian
发明人： Lisa M. Brown , Jonathan H. Connell, II , Arun Hampapur , Andrew W. Senior , Chiao-Fe Shu , Ying-Li Tian
IPC分类号： H04N7/18
CPC分类号： G01S3/7865 , G06K9/00771 , G06K9/209 , G08B13/19641
摘要： A solution for monitoring an area while accounting for camera motion and/or monitoring tasks is provided. For example, a physical area corresponding to a new field of view can be estimated for a camera for which motion is detected. The physical area can be estimated using a set of reference images previously captured by the camera, each of which comprises a unique field of view previously captured by the camera. Based on the physical area, a status for a monitoring task of the camera (e.g., an alert) can be updated and/or a location of an area for the monitoring task within an image captured by the camera can be updated. Further, based on the update(s), a field of view for a second camera can be automatically adjusted and/or a status for the monitoring task on the second camera can be automatically updated.
摘要翻译： 提供了一种在考虑摄像机运动和/或监视任务时监视区域的解决方案。 例如，对于检测到运动的照相机，可以估计对应于新的视场的物理区域。 可以使用先前由相机捕获的一组参考图像来估计物理区域，每个参考图像包括先前由相机捕获的唯一视野。 基于物理区域，可以更新摄像机的监视任务（例如，警报）的状态和/或可以更新由摄像机拍摄的图像内的监视任务的区域的位置。 此外，基于更新，可以自动调整第二相机的视场和/或可以自动更新第二相机上的监视任务的状态。
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