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公开(公告)号：US08520899B2
公开(公告)日：2013-08-27
申请号：US13525905
申请日：2012-06-18
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US20100054535A1
公开(公告)日：2010-03-04
申请号：US12200017
申请日：2008-08-28
IPC分类号： G06K9/62
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US20100054540A1
公开(公告)日：2010-03-04
申请号：US12200059
申请日：2008-08-28
CPC分类号： G06K9/6267 , G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for calibrating a classification system, wherein one or more objects in at least one video are classified, are provided. At least one view associated with the at least one video is obtained. The at least one view is partitioned into at least one region. A given object is classified in accordance with its location in reference to the at least one region. In an additional embodiment, one or more object models are obtained. At least one normalized size of the one or more objects is defined within at least one view associated with the at least one video in accordance with the one or more object models. The one or more objects are classified in accordance with the at least one defined normalized size.
摘要翻译： 提供了一种用于校准分类系统的技术，其中至少一个视频中的一个或多个对象被分类。 获得与至少一个视频相关联的至少一个视图。 至少一个视图被划分为至少一个区域。 给定对象根据其位置参照至少一个区域进行分类。 在另外的实施例中，获得一个或多个对象模型。 根据一个或多个对象模型，在与至少一个视频相关联的至少一个视图内定义一个或多个对象的至少一个归一化大小。 根据至少一个定义的归一化尺寸对一个或多个对象进行分类。
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公开(公告)号：US20120257793A1
公开(公告)日：2012-10-11
申请号：US13525905
申请日：2012-06-18
IPC分类号： G06K9/62
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US08483490B2
公开(公告)日：2013-07-09
申请号：US12200059
申请日：2008-08-28
CPC分类号： G06K9/6267 , G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for calibrating a classification system, wherein one or more objects in at least one video are classified, are provided. At least one view associated with the at least one video is obtained. The at least one view is partitioned into at least one region. A given object is classified in accordance with its location in reference to the at least one region. In an additional embodiment, one or more object models are obtained. At least one normalized size of the one or more objects is defined within at least one view associated with the at least one video in accordance with the one or more object models. The one or more objects are classified in accordance with the at least one defined normalized size.
摘要翻译： 提供了一种用于校准分类系统的技术，其中至少一个视频中的一个或多个对象被分类。 获得与至少一个视频相关联的至少一个视图。 至少一个视图被划分为至少一个区域。 给定对象根据其位置参照至少一个区域进行分类。 在另外的实施例中，获得一个或多个对象模型。 根据一个或多个对象模型，在与至少一个视频相关联的至少一个视图内定义一个或多个对象的至少一个归一化大小。 根据至少一个定义的归一化尺寸对一个或多个对象进行分类。
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公开(公告)号：US08249301B2
公开(公告)日：2012-08-21
申请号：US12200017
申请日：2008-08-28
CPC分类号： G06K9/00369 , G06K9/00771 , G06K9/2081 , G06K9/3241 , G06K2209/23
摘要： Techniques for classifying one or more objects in at least one video, wherein the at least one video comprises a plurality of frames are provided. One or more objects in the plurality of frames are tracked. A level of deformation is computed for each of the one or more tracked objects in accordance with at least one change in a plurality of histograms of oriented gradients for a corresponding tracked object. Each of the one or more tracked objects is classified in accordance with the computed level of deformation.
摘要翻译： 用于对至少一个视频中的一个或多个对象进行分类的技术，其中所述至少一个视频包括多个帧。 跟踪多个帧中的一个或多个对象。 根据对应的跟踪对象的定向梯度的多个直方图中的至少一个变化来计算一个或多个跟踪对象中的每一个的变形水平。 一个或多个跟踪物体中的每一个根据计算的变形水平进行分类。
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公开(公告)号：US09342594B2
公开(公告)日：2016-05-17
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：US08638380B2
公开(公告)日：2014-01-28
申请号：US13464328
申请日：2012-05-04
申请人： Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
发明人： Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
IPC分类号： H04N9/083
CPC分类号： G06K9/00342 , G06K9/00711 , G06K9/00771 , G06K9/64
摘要： Techniques for detecting one or more events are provided. The techniques include using multiple overlapping regions of interest on a video sequence to cover a location for one or more events, wherein each event is associated with at least one of the multiple overlapping regions of interest, applying multiple-instance learning to the video sequence to select one or more of the multiple overlapping regions of interest to construct one or more location-aware event models, and applying the models to the video sequence to detect the one or more events and to determine the one or more regions of interest that are associated with the one or more events.
摘要翻译： 提供了用于检测一个或多个事件的技术。 这些技术包括在视频序列上使用多个重叠感兴趣的区域来覆盖一个或多个事件的位置，其中每个事件与多个重叠的感兴趣区域中的至少一个相关联，将多实例学习应用于视频序列到 选择所述多个重叠区域中的一个或多个以构建一个或多个位置感知事件模型，以及将所述模型应用于所述视频序列以检测所述一个或多个事件并且确定所述一个或多个关联区域 与一个或多个事件。
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公开(公告)号：US07962365B2
公开(公告)日：2011-06-14
申请号：US12262458
申请日：2008-10-31
申请人： Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
发明人： Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
CPC分类号： G07G1/0036 , G06Q20/20 , G06Q20/4016 , G06Q40/12 , G08B13/19613 , G08B13/19671 , G08B13/246
摘要： Techniques for using transactional and visual event information to facilitate loss prevention are provided. The techniques include obtaining video of one or more visual events at a point of sale environment and one or more transaction log entries that correspond to the video, wherein the one or more transaction log entries comprise one or more transactional events, categorizing each event as one of one or more model events, using each categorized event to create a revised transaction log, wherein the revised transaction log comprises a sequence of categorized events, wherein each categorized event is a combination of the one or more transactional events and the one or more visual events, examining the revised transaction log to correct one or more mis-categorizations, if any, and revise one or more model event categories with the one or more corrected mis-categorizations, if any, and using the revised transaction log to facilitate loss prevention.
摘要翻译： 提供了使用事务和视觉事件信息来促进损失预防的技术。 所述技术包括在销售点环境下获取一个或多个视觉事件的视频以及对应于该视频的一个或多个事务日志条目，其中所述一个或多个事务日志条目包括一个或多个事务事件，将每个事件分类为一个 使用每个分类事件来创建经修订的事务日志，其中所述经修订的事务日志包括一系列分类事件，其中每个分类事件是所述一个或多个事务事件和所述一个或多个视觉 审查修订的交易日志以纠正一个或多个错误分类（如果有的话），并使用一个或多个更正的错误分类（如果有的话）修改一个或多个模型事件类别，并使用修订的交易日志来促进损失预防 。
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公开(公告)号：US20100135528A1
公开(公告)日：2010-06-03
申请号：US12325176
申请日：2008-11-29
申请人： Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
发明人： Russell Patrick Bobbitt , Quanfu Fan , Arun Hampapur , Frederik Kjeldsen , Sharathchandra Umapathirao Pankanti , Akira Yanagawa , Yun Zhai
IPC分类号： G06K9/00
CPC分类号： G06K9/00342 , G06K9/6296
摘要： Techniques for analyzing one or more sequential events performed by a human actor to evaluate efficiency of the human actor are provided. The techniques include identifying one or more segments in a video sequence as one or more components of one or more sequential events performed by a human actor, integrating the one or more components into one or more sequential events by incorporating a spatiotemporal model and one or more event detectors, and analyzing the one or more sequential events to analyze behavior of the human actor.
摘要翻译： 提供了用于分析人类演员执行的一个或多个顺序事件以评估人类演员的效率的技术。 这些技术包括将视频序列中的一个或多个片段识别为由人类actor执行的一个或多个顺序事件的一个或多个组件，通过并入时空模型和一个或多个功能将该一个或多个组件集成到一个或多个顺序事件中 事件检测器，以及分析一个或多个顺序事件以分析人类行为的行为。
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