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1. 发明授权

US08706544B1 Method and system for automatically measuring and forecasting the demographic characterization of customers to help customize programming contents in a media network 有权
标题翻译：用于自动测量和预测客户人口特征的方法和系统，以帮助定制媒体网络中的节目内容
公开(公告)号：US08706544B1
公开(公告)日：2014-04-22
申请号：US11805321
申请日：2007-05-23
申请人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Hankyu Moon
发明人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Hankyu Moon
IPC分类号： G06Q10/00
CPC分类号： G06Q30/0202 , G06Q30/0201
摘要： The present invention is a method and system for forecasting the demographic characterization of customers to help customize programming contents on each means for playing output of each site of a plurality of sites in a media network through automatically measuring, characterizing, and estimating the demographic information of customers that appear in the vicinity of each means for playing output. The analysis of demographic information of customers is performed automatically based on the visual information of the customers, using a plurality of means for capturing images and a plurality of computer vision technologies on the visual information. The measurement of the demographic information is performed in each measured node, where the node is defined as means for playing output. Extrapolation of the measurement characterizes the demographic information per each node of a plurality of nodes in a site of a plurality of sites of a media network. The forecasting and customization of the programming contents is based on the characterization of the demographic information.
摘要翻译：本发明是一种用于预测客户的人口统计特征的方法和系统，用于通过自动测量，表征和估计媒体网络中的人口统计信息的每个位置来播放媒体网络中的多个站点的每个站点的输出，从而自定义节目内容出现在每个装置附近的客户播放输出。根据客户的视觉信息，利用多种视觉信息拍摄图像和计算机视觉技术的手段，自动进行客户人口统计信息的分析。在每个测量节点中执行人口统计信息的测量，其中节点被定义为播放输出的装置。测量的外推表征媒体网络的多个站点中的多个节点中每个节点的人口统计信息。编程内容的预测和定制是基于人口统计信息的表征。

2. 发明授权

US07987111B1 Method and system for characterizing physical retail spaces by determining the demographic composition of people in the physical retail spaces utilizing video image analysis 有权
标题翻译：通过使用视频图像分析确定物理零售空间人员的人口构成，来描绘物理零售空间的方法和系统
公开(公告)号：US07987111B1
公开(公告)日：2011-07-26
申请号：US11978021
申请日：2007-10-26
申请人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Hankyu Moon
发明人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Hankyu Moon
IPC分类号： G06Q10/00
CPC分类号： G06Q30/02 , A61B2503/20 , G06Q30/0201
摘要： The present invention is a method and system for characterizing physical space based on automatic demographics measurement, using a plurality of means for capturing images and a plurality of computer vision technologies. The present invention is called demographic-based retail space characterization (DBR). Although the disclosed method is described in the context of retail space, the present invention can be applied to any physical space that has a restricted boundary. In the present invention, the physical space characterization can comprise various types of characterization depending on the objective of the physical space, and it is one of the objectives of the present invention to provide the automatic demographic composition measurement to facilitate the physical space characterization. The demographic classification and composition measurement of people in the physical space is performed automatically based on a novel usage of a plurality of means for capturing images and a plurality of computer vision technologies on the captured visual information of the people in the physical space. The plurality of computer vision technologies can comprise face detection, person tracking, body parts detection, and demographic classification of the people, on the captured visual information of the people in the physical space.
摘要翻译：本发明是一种用于基于自动人口统计测量来表征物理空间的方法和系统，使用多个用于捕获图像的装置和多个计算机视觉技术。本发明被称为基于人口统计的零售空间表征（DBR）。虽然在零售空间的上下文中描述了所公开的方法，但是本发明可以应用于具有有限边界的任何物理空间。在本发明中，物理空间表征可以包括取决于物理空间的目标的各种类型的表征，并且本发明的目的之一是提供自动人口统计量测量以促进物理空间表征。基于对物理空间中人的捕获的视觉信息的多个用于捕获图像和多个计算机视觉技术的新颖的使用，自动执行物理空间中的人的人口统计分类和构图测量。多个计算机视觉技术可以包括人物的人脸检测，人物跟踪，身体部位检测和人口统计学分类，以及物理空间中所捕获的视觉信息。

3. 发明授权

US07957565B1 Method and system for recognizing employees in a physical space based on automatic behavior analysis 有权
标题翻译：基于自动行为分析识别物理空间中的员工的方法和系统
公开(公告)号：US07957565B1
公开(公告)日：2011-06-07
申请号：US12079901
申请日：2008-03-28
申请人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
发明人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
IPC分类号： G06K9/00
CPC分类号： G06K9/00778 , G06K9/00342 , G06K2009/3291
摘要： The present invention is a method and system for recognizing employees among the people in a physical space based on automatic behavior analysis of the people in a preferred embodiment. The present invention captures a plurality of input images of the people in the physical space by a plurality of means for capturing images. The present invention processes the plurality of input images in order to understand the behavioral characteristics of the people for the employee recognition purpose. The behavior analysis can comprise a path analysis as one of the characterization methods. The path analysis collects a plurality of trip information for each tracked person during a predefined window of time. The trip information can comprise spatial and temporal attributes, such as coordinates of the person's position, trip time, trip length, and average velocity for each of the plurality of trips. Based on the employee recognition criteria applied to the trip information, the present invention distinguishes employees from non-employees during a predefined window of time. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the behavior of the people from the plurality of input images.
摘要翻译：本发明是一种在优选实施例中基于人的自动行为分析来识别物理空间中的人员的方法和系统。本发明通过用于捕获图像的多个装置捕获物理空间中的人的多个输入图像。本发明处理多个输入图像，以便了解用于员工识别目的的人的行为特征。行为分析可以包括作为表征方法之一的路径分析。路径分析在预定义的时间窗口期间针对每个被跟踪的人收集多个行程信息。旅行信息可以包括空间和时间属性，例如人的位置的坐标，行程时间，行程长度，以及多个行程中的每一个的平均速度。基于适用于旅行信息的员工识别标准，本发明在预定义的时间窗口区分员工与非雇员。这些过程基于多个计算机视觉技术的新颖使用，以分析来自多个输入图像的人的行为。

4. 发明授权

US08189926B2 Method and system for automatically analyzing categories in a physical space based on the visual characterization of people 有权
标题翻译：基于人的视觉特征自动分析物理空间中的类别的方法和系统
公开(公告)号：US08189926B2
公开(公告)日：2012-05-29
申请号：US11999656
申请日：2007-12-06
申请人： Rajeev Sharma , Satish Mummareddy , Priya Baboo , Jeff Hershey , Namsoon Jung
发明人： Rajeev Sharma , Satish Mummareddy , Priya Baboo , Jeff Hershey , Namsoon Jung
IPC分类号： G06K9/62
CPC分类号： G06K9/00771
摘要： The present invention is a method and system for automatically analyzing a category in a plurality of the categories in a physical space based on the visual characterization, such as behavior analysis or segmentation, of the persons with regard to the category. The present invention captures a plurality of input images of the persons in the category by a plurality of means for capturing images. The present invention processes the plurality of input images in order to understand the shopping behavior of the persons with the sub-categories of the category and analyzes the level of engagement and decision process at the sub-category level. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the visual characterization of the persons from the plurality of input images. The physical space may be a retail space, and the persons may be customers in the retail space.
摘要翻译：本发明是一种用于基于诸如针对该类别的人的行为分析或分割的视觉表征来自动分析物理空间中的多个类别中的类别的方法和系统。本发明通过用于捕获图像的多个装置捕获类别中的人的多个输入图像。本发明处理多个输入图像，以便了解具有该类别的子类别的人的购物行为，并分析子类别级别的参与和决策过程的水平。这些过程基于多个计算机视觉技术的新颖用途，以分析来自多个输入图像的人的视觉表征。物理空间可能是零售空间，人员可能是零售空间的客户。

5. 发明授权

US07930204B1 Method and system for narrowcasting based on automatic analysis of customer behavior in a retail store 有权
标题翻译：基于零售商店客户行为自动分析的窄广播方法和系统
公开(公告)号：US07930204B1
公开(公告)日：2011-04-19
申请号：US11880421
申请日：2007-07-20
申请人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Akhil Kamat , Chris Ahlers
发明人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Akhil Kamat , Chris Ahlers
IPC分类号： G06F17/60
CPC分类号： G06Q30/02 , G06Q30/0203
摘要： The present invention is a method and system for automatically changing the advertisement contents on a means for displaying the contents based on a customer's behavior or a group of customers' behavior in a retail store. The analysis of behavioral pattern is performed automatically and in real-time based on the visual information from the shopping and walkthrough history of a customer or a group of customers, using arrays of sensing devices, such as a plurality of means for capturing images, and a plurality of computer vision technologies on the visual information.
摘要翻译：本发明是一种用于根据客户行为或一组客户行为在零售商店中显示内容的装置自动地改变广告内容的方法和系统。基于来自顾客或一组客户的购物和演练历史的视觉信息，使用诸如多个用于捕获图像的装置的感测装置的阵列，自动和实时地执行行为模式的分析，以及视觉信息的多种计算机视觉技术。

6. 发明授权

US08660895B1 Method and system for rating of out-of-home digital media network based on automatic measurement 有权
标题翻译：基于自动测量的户外数字媒体网络评级的方法和系统
公开(公告)号：US08660895B1
公开(公告)日：2014-02-25
申请号：US11818485
申请日：2007-06-14
申请人： Varij Saurabh , Jeff Hershey , Satish Mummareddy , Rajeev Sharma , Namsoon Jung
发明人： Varij Saurabh , Jeff Hershey , Satish Mummareddy , Rajeev Sharma , Namsoon Jung
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0204 , G06Q30/0242
摘要： The present invention is a method and system for producing a set of ratings for out-of-home media based on the measurement of behavior patterns and demographics of the people in a digital media network. The present invention captures a plurality of input images of the people in the vicinity of sampled out-of-home media in a digital media network by a plurality of means for capturing images, and tracks each person. The present invention processes the plurality of input images in order to analyze the behavior and demographics of the people. The present invention aggregates the measurements for the behavior patterns and demographics of the people, analyzes the data, and extracts characteristic information based on the estimated parameters from the aggregated measurements. Finally, the present invention calculates a set of ratings based on the characteristic information. The plurality of computer vision technologies can comprise face detection, person tracking, body parts detection, and demographic classification of the people, on the captured visual information of the people in the vicinity of the out-of-home media.
摘要翻译：本发明是一种用于根据对数字媒体网络中的人的行为模式和人口统计的测量来生产用于户外媒体的一组评级的方法和系统。本发明通过用于捕获图像的多个装置捕获数字媒体网络中的采样的室外媒体附近的人的多个输入图像，并且跟踪每个人。本发明处理多个输入图像以分析人的行为和人口统计。本发明聚合人们的行为模式和人口统计学的测量结果，分析数据，并根据来自聚合测量的估计参数提取特征信息。最后，本发明基于特征信息计算一组评级。多种计算机视觉技术可以包括人脸检测，人物跟踪，身体部位检测和人群的人口统计分类，以及在家外媒体附近的人们所获取的视觉信息。

7. 发明申请

US20080159634A1 Method and system for automatically analyzing categories in a physical space based on the visual characterization of people 有权
标题翻译：基于人的视觉特征自动分析物理空间中的类别的方法和系统
公开(公告)号：US20080159634A1
公开(公告)日：2008-07-03
申请号：US11999656
申请日：2007-12-06
申请人： Rajeev Sharma , Satish Mummareddy , Priya Baboo , Jeff Hershey , Namsoon Jung
发明人： Rajeev Sharma , Satish Mummareddy , Priya Baboo , Jeff Hershey , Namsoon Jung
IPC分类号： G06K9/62
CPC分类号： G06K9/00771
摘要： The present invention is a method and system for automatically analyzing a category in a plurality of the categories in a physical space based on the visual characterization, such as behavior analysis or segmentation, of the persons with regard to the category. The present invention captures a plurality of input images of the persons in the category by a plurality of means for capturing images. The present invention processes the plurality of input images in order to understand the shopping behavior of the persons with the sub-categories of the category and analyzes the level of engagement and decision process at the sub-category level. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the visual characterization of the persons from the plurality of input images. The physical space may be a retail space, and the persons may be customers in the retail space.
摘要翻译：本发明是一种用于基于诸如针对该类别的人的行为分析或分割的视觉表征来自动分析物理空间中的多个类别中的类别的方法和系统。本发明通过用于捕获图像的多个装置捕获类别中的人的多个输入图像。本发明处理多个输入图像，以便了解具有该类别的子类别的人的购物行为，并分析子类别级别的参与和决策过程的水平。这些过程基于多个计算机视觉技术的新颖用途，以分析来自多个输入图像的人的视觉表征。物理空间可能是零售空间，人员可能是零售空间的客户。

8. 发明授权

US08380558B1 Method and system for analyzing shopping behavior in a store by associating RFID data with video-based behavior and segmentation data 有权
标题翻译：通过将RFID数据与基于视频的行为和分段数据相关联来分析商店中的购物行为的方法和系统
公开(公告)号：US08380558B1
公开(公告)日：2013-02-19
申请号：US11999717
申请日：2007-12-06
申请人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
发明人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
IPC分类号： G06Q10/00 , H04N5/225
CPC分类号： G06Q30/02
摘要： The present invention is a method and system for analyzing shopping behavior by associating RFID data, such as tracking data by the RFID tag identifications, with video-based behavior and segmentation data, such as behavior analysis and demographic composition analysis of the customers, utilizing a plurality of means for sensing and using RFID tags, a plurality of means for capturing images, and a plurality of computer vision technologies. In the present invention, the association can further comprise the association of the RFID with the transaction data or any time-based measurement in the retail space. The analyzed shopping behavior in the present invention helps people to better understand business elements in a retail space. It is one of the objectives of the present invention to provide an automatic video-based segmentation of customers in the association with the RFID based tracking of the customers, based on a novel usage of a plurality of means for capturing images and a plurality of computer vision technologies on the captured visual information of the people in the retail space. The plurality of computer vision technologies can comprise face detection, person tracking, body parts detection, and demographic classification of the people, on the captured visual information of the people in the retail space.
摘要翻译：本发明是一种用于通过将RFID数据（例如通过RFID标签标识跟踪数据）与基于视频的行为和分段数据（诸如客户的行为分析和人口统计分析）相关联来分析购物行为的方法和系统，利用用于感测和使用RFID标签的多个装置，用于捕获图像的多个装置以及多个计算机视觉技术。在本发明中，关联可以进一步包括RFID与交易数据或零售空间中的任何基于时间的测量的关联。在本发明中分析的购物行为帮助人们更好地了解零售空间中的商业元素。基于用于捕获图像的多个装置的新颖用途和多个计算机，本发明的目标之一是提供与客户的基于RFID的跟踪相关联的客户的基于视频的自动分割视觉技术在零售空间中捕获的视觉信息。多个计算机视觉技术可以包括面部检测，人物跟踪，身体部位检测和人群的人口统计分类，在零售空间中捕获的人的视觉信息。

9. 发明授权

US08295597B1 Method and system for segmenting people in a physical space based on automatic behavior analysis 有权
标题翻译：基于自动行为分析在物理空间中分割人的方法和系统
公开(公告)号：US08295597B1
公开(公告)日：2012-10-23
申请号：US12075089
申请日：2008-03-07
申请人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
发明人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
IPC分类号： G06K9/00 , G06K9/62 , G06K9/34
CPC分类号： G06K9/00342 , G06K9/00718 , G06K9/00771 , G06K2209/27 , G06T7/20 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241
摘要： The present invention is a method and system for segmenting a plurality of persons in a physical space based on automatic behavior analysis of the persons in a preferred embodiment. The behavior analysis can comprise a path analysis as one of the characterization methods. The present invention applies segmentation criteria to the output of the video-based behavior analysis and assigns segmentation label to each of the persons during a predefined window of time. In addition to the behavioral characteristics, the present invention can also utilize other types of visual characterization, such as demographic analysis, or additional input sources, such as sales data, to segment the plurality of persons in another exemplary embodiment. The present invention captures a plurality of input images of the persons in the physical space by a plurality of means for capturing images. The present invention processes the plurality of input images in order to understand the behavioral characteristics, such as shopping behavior, of the persons for the segmentation purpose. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the visual characterization of the persons from the plurality of input images. The physical space may be a retail space, and the persons may be customers in the retail space.
摘要翻译：本发明是一种在优选实施例中基于人的自动行为分析在物理空间中分割多个人的方法和系统。行为分析可以包括作为表征方法之一的路径分析。本发明将分段标准应用于基于视频的行为分析的输出，并且在预定义的时间窗口内为每个人分配分割标签。除了行为特征之外，本发明还可以利用其他类型的视觉表征，诸如人口统计学分析，或其他输入来源，例如销售数据，以在另一示例性实施例中分割多个人。本发明通过用于捕获图像的多个装置捕获物理空间中的人的多个输入图像。本发明处理多个输入图像，以便了解用于分割目的的人的行为特征，诸如购物行为。这些过程基于多个计算机视觉技术的新颖用途，以分析来自多个输入图像的人的视觉表征。物理空间可能是零售空间，人员可能是零售空间的客户。

10. 发明授权

US07974869B1 Method and system for automatically measuring and forecasting the behavioral characterization of customers to help customize programming contents in a media network 有权
标题翻译：用于自动测量和预测客户行为表征的方法和系统，以帮助定制媒体网络中的节目内容
公开(公告)号：US07974869B1
公开(公告)日：2011-07-05
申请号：US11901691
申请日：2007-09-18
申请人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
发明人： Rajeev Sharma , Satish Mummareddy , Jeff Hershey , Namsoon Jung
IPC分类号： G06F17/00
CPC分类号： G06Q30/0202 , G06Q30/02
摘要： The present invention is a method and system for forecasting the behavioral characterization of customers to help customize programming contents on each means for playing output of each site of a plurality of sites in a media network through automatically measuring, characterizing, and forecasting the behavioral information of customers that appear in the vicinity of each means for playing output. The analysis of behavioral information of customers is performed automatically based on the visual information of the customers, using a plurality of means for capturing images and a plurality of computer vision technologies on the visual information. The measurement of the behavioral information is performed in each measured node, where the node is defined as means for playing output. Extrapolation of the measurement characterizes the behavioral information per each node of a plurality of nodes in a site of a plurality of sites of a media network. The forecasting and customization of the programming contents is based on the characterization of the behavioral information.
摘要翻译：本发明是一种用于预测客户的行为表征的方法和系统，用于通过自动测量，表征和预测媒体网络中的多个站点的每个站点的每个站点的输出的每个站点的输出来自定义节目内容，出现在每个装置附近的客户播放输出。根据客户的视觉信息，利用多种视觉信息拍摄图像和计算机视觉技术的手段，自动执行客户行为信息的分析。在每个测量节点中执行行为信息的测量，其中节点被定义为播放输出的装置。测量的外推表征媒体网络的多个站点中的多个节点中每个节点的行为信息。编程内容的预测和定制是基于行为信息的表征。

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