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1. 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。

2. 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。

3. 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.

4. 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。

5. 发明申请

US20120121170A1 OBJECT DETECTION SYSTEM BASED ON A POOL OF ADAPTIVE FEATURES 有权
标题翻译：基于自适应特征的对象检测系统
公开(公告)号：US20120121170A1
公开(公告)日：2012-05-17
申请号：US13353485
申请日：2012-01-19
申请人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
发明人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
IPC分类号： G06K9/62
CPC分类号： G06K9/6228
摘要： A method, system and computer program product for detecting presence of an object in an image are disclosed. According to an embodiment, a method for detecting a presence of an object in an image comprises: receiving multiple training image samples; determining a set of adaptive features for each training image sample, the set of adaptive features matching the local structure of each training image sample; integrating the sets of adaptive features of the multiple training image samples to generate an adaptive feature pool; determining a general feature based on the adaptive feature pool; and examining the image using a classifier determined based on the general feature to detect the presence of the object.
摘要翻译：公开了一种用于检测图像中的对象的存在的方法，系统和计算机程序产品。根据实施例，用于检测图像中的对象的存在的方法包括：接收多个训练图像样本; 确定每个训练图像样本的一组自适应特征，与每个训练图像样本的局部结构匹配的一组自适应特征; 整合多个训练图像样本的自适应特征的集合以生成自适应特征池; 基于自适应特征池确定一般特征; 以及使用基于一般特征确定的分类器来检查图像以检测对象的存在。

6. 发明申请

US20080232681A1 OBJECT DETECTION SYSTEM BASED ON A POOL OF ADAPTIVE FEATURES 失效
标题翻译：基于自适应特征的对象检测系统
公开(公告)号：US20080232681A1
公开(公告)日：2008-09-25
申请号：US11688372
申请日：2007-03-20
申请人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
发明人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
IPC分类号： G06K9/62
CPC分类号： G06K9/6228
摘要： A method, system and computer program product for detecting presence of an object in an image are disclosed. According to an embodiment, a method for detecting a presence of an object in an image comprises: receiving multiple training image samples; determining a set of adaptive features for each training image sample, the set of adaptive features matching the local structure of each training image sample; integrating the sets of adaptive features of the multiple training image samples to generate an adaptive feature pool; determining a general feature based on the adaptive feature pool; and examining the image using a classifier determined based on the general feature to detect the presence of the object.
摘要翻译：公开了一种用于检测图像中的对象的存在的方法，系统和计算机程序产品。根据实施例，用于检测图像中的对象的存在的方法包括：接收多个训练图像样本; 确定每个训练图像样本的一组自适应特征，与每个训练图像样本的局部结构匹配的一组自适应特征; 整合多个训练图像样本的自适应特征的集合以生成自适应特征池; 基于自适应特征池确定一般特征; 以及使用基于一般特征确定的分类器来检查图像以检测对象的存在。

7. 发明授权

US08655018B2 Object detection system based on a pool of adaptive features 有权
标题翻译：基于自适应特征池的对象检测系统
公开(公告)号：US08655018B2
公开(公告)日：2014-02-18
申请号：US13353485
申请日：2012-01-19
申请人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
发明人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
IPC分类号： G06K9/00
CPC分类号： G06K9/6228
摘要： A method, system and computer program product for detecting presence of an object in an image are disclosed. According to an embodiment, a method for detecting a presence of an object in an image comprises: receiving multiple training image samples; determining a set of adaptive features for each training image sample, the set of adaptive features matching the local structure of each training image sample; integrating the sets of adaptive features of the multiple training image samples to generate an adaptive feature pool; determining a general feature based on the adaptive feature pool; and examining the image using a classifier determined based on the general feature to detect the presence of the object.
摘要翻译：公开了一种用于检测图像中的对象的存在的方法，系统和计算机程序产品。根据实施例，用于检测图像中的对象的存在的方法包括：接收多个训练图像样本; 确定每个训练图像样本的一组自适应特征，与每个训练图像样本的局部结构匹配的一组自适应特征; 整合多个训练图像样本的自适应特征的集合以生成自适应特征池; 基于自适应特征池确定一般特征; 以及使用基于一般特征确定的分类器来检查图像以检测对象的存在。

8. 发明授权

US08170276B2 Object detection system based on a pool of adaptive features 失效
标题翻译：基于自适应特征池的对象检测系统
公开(公告)号：US08170276B2
公开(公告)日：2012-05-01
申请号：US11688372
申请日：2007-03-20
申请人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
发明人： Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
IPC分类号： G06K9/00
CPC分类号： G06K9/6228
摘要： A method, system and computer program product for detecting presence of an object in an image are disclosed. According to an embodiment, a method for detecting a presence of an object in an image comprises: receiving multiple training image samples; determining a set of adaptive features for each training image sample, the set of adaptive features matching the local structure of each training image sample; integrating the sets of adaptive features of the multiple training image samples to generate an adaptive feature pool; determining a general feature based on the adaptive feature pool; and examining the image using a classifier determined based on the general feature to detect the presence of the object.
摘要翻译：公开了一种用于检测图像中的对象的存在的方法，系统和计算机程序产品。根据实施例，用于检测图像中的对象的存在的方法包括：接收多个训练图像样本; 确定每个训练图像样本的一组自适应特征，与每个训练图像样本的局部结构匹配的一组自适应特征; 整合多个训练图像样本的自适应特征的集合以生成自适应特征池; 基于自适应特征池确定一般特征; 以及使用基于一般特征确定的分类器来检查图像以检测对象的存在。

9. 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.

10. 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。

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