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1. 发明授权

US08532336B2 Multi-mode video event indexing 有权
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.

2. 发明申请

US20120045090A1 MULTI-MODE VIDEO EVENT INDEXING 有权
标题翻译：多模式视频活动指标
公开(公告)号：US20120045090A1
公开(公告)日：2012-02-23
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.
摘要翻译：多模式视频事件索引包括确定相对于来自视频流输入的图像的对象特征的质量。从多种模式中选择高质量的分析模式，并通过硬件设备将视频输入图像应用于视频输入图像，以确定检测到的对象特征质量水平达到阈值质量水平时视频输入图像中的对象活动，否则低通过硬件设备选择质量分析模式并将其应用于视频输入图像，以确定视频输入图像内的对象活动，其中低质量分析模式不同于高质量分析模式。

3. 发明申请

US20100106707A1 INDEXING AND SEARCHING ACCORDING TO ATTRIBUTES OF A PERSON 有权
标题翻译：根据个人的特征进行索引和搜索
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
IPC分类号： G06F17/30 , G06F7/00
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。

4. 发明授权

US09342594B2 Indexing and searching according to attributes of a person 有权
标题翻译：根据人的属性进行索引和搜索
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
IPC分类号： G06F17/00 , G06F17/30 , G06K9/62
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。

5. 发明申请

US20140056479A1 DETERMINATION OF TRAIN PRESENCE AND MOTION STATE IN RAILWAY ENVIRONMENTS 有权
标题翻译：铁路环境中火车存在和运动状态的确定
公开(公告)号：US20140056479A1
公开(公告)日：2014-02-27
申请号：US13590269
申请日：2012-08-21
申请人： Russell P. Bobbitt , Rogerio S. Feris , Yun Zhai
发明人： Russell P. Bobbitt , Rogerio S. Feris , Yun Zhai
IPC分类号： G06K9/62
CPC分类号： G06K9/00771 , G06K9/00718 , G06K9/00765 , G06K9/6212 , G06T7/11
摘要： Foreground feature data and motion feature data is determined for frames of video data acquired from a train track area region of interest. The frames are labeled as “train present” if the determined foreground feature data value meets a threshold value, else as “train absent; and as “motion present” if the motion feature data meets a motion threshold, else as “static.” The labels are used to classify segments of the video data comprising groups of consecutive video frames, namely as within a “no train present” segment for groups with “train absent” and “static” labels; within a “train present and in transition” segment for groups “train present” and “motion present” labels; and within a “train present and stopped” segment for groups with “train present” and “static” labels. The presence or motion state of a train at a time of inquiry is thereby determined from the respective segment classification.
摘要翻译：确定从感兴趣的列车轨道区域获取的视频数据的帧的前景特征数据和运动特征数据。如果确定的前景特征数据值满足阈值，则将帧标记为“列车存在”，否则，如果运动特征数据满足运动阈值，否则为“不存在运动;如运动特征数据满足运动阈值，否则为”静态“。标签用于对包括连续视频帧组的视频数据的段进行分类，即对于具有“列车不存在”和“静态”标签的组的“无列车存在”段内;在“列车存在和转换”段内在“火车现在”和“静态”标签组中，“列车现在”和“动作现状”标签组成的“火车现在和停止”部分中，列车在询问时的存在或运动状态为由各分段分类确定。

6. 发明授权

US09070020B2 Determination of train presence and motion state in railway environments 有权
标题翻译：确定铁路环境中的列车存在和运动状态
公开(公告)号：US09070020B2
公开(公告)日：2015-06-30
申请号：US13590269
申请日：2012-08-21
申请人： Russell P. Bobbitt , Rogerio S. Feris , Yun Zhai
发明人： Russell P. Bobbitt , Rogerio S. Feris , Yun Zhai
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G06K9/00718 , G06K9/00765 , G06K9/6212 , G06T7/11
摘要： Foreground feature data and motion feature data is determined for frames of video data acquired from a train track area region of interest. The frames are labeled as “train present” if the determined foreground feature data value meets a threshold value, else as “train absent”; and as “motion present” if the motion feature data meets a motion threshold, else as “static.” The labels are used to classify segments of the video data comprising groups of consecutive video frames, namely as within a “no train present” segment for groups with “train absent” and “static” labels; within a “train present and in transition” segment for groups “train present” and “motion present” labels; and within a “train present and stopped” segment for groups with “train present” and “static” labels. The presence or motion state of a train at a time of inquiry is thereby determined from the respective segment classification.
摘要翻译：确定从感兴趣的列车轨道区域获取的视频数据的帧的前景特征数据和运动特征数据。如果确定的前景特征数据值满足阈值，则帧被标记为“列车存在”，否则被标记为“列车存在”，否则被标记为“列车存在” 如果运动特征数据满足运动阈值，则作为“运动呈现”，否则为“静态”。标签用于对包括连续视频帧组的视频数据的段进行分类，即在“无列车存在”段内对于具有“火车不在”和“静态”标签的组; 在“火车现在”和“现场演出”标签的“火车现在和转型期”段内，在“火车现在”和“静态”标签的组别内的“火车现在和停止”部分。因此，从相应的段分类确定列车在询问时的存在或运动状态。

7. 发明授权

US10424342B2 Facilitating people search in video surveillance 有权
公开(公告)号：US10424342B2
公开(公告)日：2019-09-24
申请号：US12845116
申请日：2010-07-28
申请人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
发明人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
IPC分类号： G06K9/00 , G06T7/292 , G11B27/10 , G11B27/34 , G06F16/783
摘要： Techniques for facilitating a video surveillance search of a person are provided. The techniques include maintaining a database of one or more attributes of one or more people captured on one or more video cameras, indexing the one or more attributes in the database extracted from the one or more video cameras, and pruning one or more images captured from the one or more video cameras using the one or more attributes and one or more items of qualifying information to facilitate a video surveillance search of a person.

8. 发明申请

US20120030208A1 Facilitating People Search in Video Surveillance 有权
标题翻译：促进人们在视频监控中的搜索
公开(公告)号：US20120030208A1
公开(公告)日：2012-02-02
申请号：US12845116
申请日：2010-07-28
申请人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
发明人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
IPC分类号： G06F17/30
摘要： Techniques for facilitating a video surveillance search of a person are provided. The techniques include maintaining a database of one or more attributes of one or more people captured on one or more video cameras, indexing the one or more attributes in the database extracted from the one or more video cameras, and pruning one or more images captured from the one or more video cameras using the one or more attributes and one or more items of qualifying information to facilitate a video surveillance search of a person.
摘要翻译：提供了一种用于促进人的视频监视搜索的技术。这些技术包括维护在一个或多个摄像机上捕获的一个或多个人的一个或多个属性的数据库，索引从一个或多个摄像机提取的数据库中的一个或多个属性，以及修剪从所述一个或多个摄像机使用一个或多个属性和一个或多个限定条件信息来促进人的视频监视搜索。

9. 发明申请

US20120027249A1 Multispectral Detection of Personal Attributes for Video Surveillance 失效
标题翻译：用于视频监控的个人属性的多光谱检测
公开(公告)号：US20120027249A1
公开(公告)日：2012-02-02
申请号：US12845121
申请日：2010-07-28
申请人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
发明人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
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 to 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，并列举特征构成块通过每个光谱级别直到整数值中的所有尺寸已经被覆盖，并且其中每个组合确定多光谱特征，使用训练集来选择多光谱特征以产生多光谱属性检测器，并且使用多光谱属性检测器，以识别vi中属性的位置 deo监视。

10. 发明授权

US08515127B2 Multispectral detection of personal attributes for video surveillance 失效
标题翻译：用于视频监控的个人属性的多光谱检测
公开(公告)号：US08515127B2
公开(公告)日：2013-08-20
申请号：US12845121
申请日：2010-07-28
申请人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
发明人： Lisa M. Brown , Rogerio S. Feris , Arun Hampapur , Daniel A. Vaquero
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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