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1. 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。

2. 发明授权

US07848548B1 Method and system for robust demographic classification using pose independent model from sequence of face images 有权
标题翻译：使用姿态独立模型从人脸图像序列中进行鲁棒人口统计分类的方法和系统
公开(公告)号：US07848548B1
公开(公告)日：2010-12-07
申请号：US11811614
申请日：2007-06-11
申请人： Hankyu Moon , Satish Mummareddy , Rajeev Sharma
发明人： Hankyu Moon , Satish Mummareddy , Rajeev Sharma
IPC分类号： G06K9/00
CPC分类号： G06K9/00288 , G06K9/00281 , G06K9/621 , G06K9/6255 , G06K9/68 , G06K2009/00322
摘要： The invention provides a face-based automatic demographics classification system that is robust to pose changes of the target faces and to accidental scene variables, by using a pose-independent facial image representation which comprises multiple pose-dependent facial appearance models. Given a sequence of people's faces in a scene, the two-dimensional variations are estimated and corrected using a novel machine learning based method. We estimate the three-dimensional pose of the people, using a machine learning based approach. The face tracking module keeps the identity of the person using geometric and appearance cues, where multiple appearance models are built based on the poses of the faces. Each separately built pose-dependent facial appearance model is fed to the demographics classifier, which is trained using only the faces having the corresponding pose. The classification scores from the set of pose-dependent classifiers are aggregated to determine the final face category, such as gender, age, and ethnicity.
摘要翻译：本发明提供了一种基于脸部的自动人口统计分类系统，其通过使用包括多个姿势相关的面部外观模型的姿势无关的面部图像表示来鲁棒地构成目标面部和意外场景变量的变化。给定场景中的一系列人脸，使用新颖的基于机器学习的方法来估计和校正二维变化。我们使用基于机器学习的方法来估计人的三维姿态。脸部跟踪模块使用几何和外观线索保持人的身份，其中基于面部姿态构建多个外观模型。每个单独构建的姿势相关的面部外观模型被馈送到人口统计分类器，其仅使用具有相应姿态的面进行训练。来自一组依赖于姿势的分类器的分类分数被聚合以确定最终的面部类别，例如性别，年龄和种族。

3. 发明授权

US10713670B1 Method and system for finding correspondence between point-of-sale data and customer behavior data 有权
公开(公告)号：US10713670B1
公开(公告)日：2020-07-14
申请号：US14986386
申请日：2015-12-31
申请人： Hankyu Moon , Rajeev Sharma , Satish Mummareddy
发明人： Hankyu Moon , Rajeev Sharma , Satish Mummareddy
IPC分类号： G06Q30/02 , G06Q20/20
摘要： The present invention is a method and system to provide correspondences between point-of-sale data registered at the store checkout and shopper behavior data observed at point-of-purchase through video analysis. The point-of-sale data include the list of shoppers and purchase items, and the shopper behavior data include the purchase events along with observed purchase items. The correspondence in the form of checkout shopper IDs matched to purchase event IDs is derived based on the algebraic constraint among the point-of-sale data and the purchase event data. Additional constraint based on shopper tracks and checkout/event times can also be incorporated to the correspondence problem. Uncertainties due to the video measurement can be systematically handled utilizing a Bayesian model.

4. 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。

5. 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。

6. 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。

7. 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。

8. 发明授权

US08009863B1 Method and system for analyzing shopping behavior using multiple sensor tracking 有权
标题翻译：使用多传感器跟踪分析购物行为的方法和系统
公开(公告)号：US08009863B1
公开(公告)日：2011-08-30
申请号：US12215877
申请日：2008-06-30
申请人： Rajeev Sharma , Satish Mummareddy , Namsoon Jung
发明人： Rajeev Sharma , Satish Mummareddy , Namsoon Jung
IPC分类号： G06K9/00
CPC分类号： G06Q30/02 , G06K9/00335 , G06T7/292 , G06T2207/30196 , G06T2207/30232
摘要： The present invention is a method and system for automatically analyzing the behavior of a person and a plurality of persons in a physical space based on measurement of the trip of the person and the plurality of persons on input images. The present invention captures a plurality of input images of the person by a plurality of means for capturing images, such as cameras. The plurality of input images is processed in order to track the person in each field of view of the plurality of means for capturing images. The present invention measures the information for the trip of the person in the physical space based on the processed results from the plurality of tracks and analyzes the behavior of the person based on the trip information. The trip information can comprise coordinates of the person's position and temporal attributes, such as trip time and trip length, for the plurality of tracks. The physical space may be a retail space, and the person may be a customer in the retail space. The trip information can provide key measurements as a foundation for the behavior analysis of the customer along the entire shopping trip, from entrance to checkout, that deliver deeper insights about the customer behavior. The focus of the present invention is given to the automatic behavior analytics applications based upon the trip from the extracted video, where the exemplary behavior analysis comprises map generation as visualization of the behavior, quantitative category measurement, dominant path measurement, category correlation measurement, and category sequence measurement.
摘要翻译：本发明是一种方法和系统，用于基于对输入图像上的人和多人的行程的测量来自动分析物理空间中的人和多个人的行为。本发明通过用于捕获诸如照相机的图像的多种装置捕获人的多个输入图像。处理多个输入图像以便跟踪用于捕获图像的多个装置的每个视场中的人。本发明基于来自多个轨道的处理结果来测量物理空间中的人的行程信息，并基于行程信息分析人的行为。行程信息可以包括人的位置和时间属性的坐标，例如多个轨道的行程时间和行程长度。物理空间可以是零售空间，该人可能是零售空间中的客户。旅行信息可以提供关键测量，作为整个购物之旅的客户行为分析的基础，从入场到结帐，为客户行为提供更深入的见解。本发明的重点是基于从所提取的视频的行程给出的自动行为分析应用，其中示例性行为分析包括作为行为的可视化的地图生成，定量类别测量，主要路径测量，类别相关性测量和类别序列测量。

9. 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。

10. 发明授权

US08412656B1 Method and system for building a consumer decision tree in a hierarchical decision tree structure based on in-store behavior analysis 有权
标题翻译：基于店内行为分析的层次决策树结构中构建消费者决策树的方法和系统
公开(公告)号：US08412656B1
公开(公告)日：2013-04-02
申请号：US12583080
申请日：2009-08-13
申请人： Priya Baboo , Satish Mummareddy , Rajeev Sharma , Varij Saurabh , Namsoon Jung
发明人： Priya Baboo , Satish Mummareddy , Rajeev Sharma , Varij Saurabh , Namsoon Jung
IPC分类号： G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00
CPC分类号： G06Q30/0282 , G06Q30/0201 , G06Q30/06
摘要： The present invention is a system and method for determining the hierarchical purchase decision process of consumers in front of a product category. The decision path of consumers is obtained by combining behavior data with the category layout and transaction data based on observed actual in-store purchase behavior using a set of video cameras and software for extracting sequence and timing of each consumer's decision process. A hierarchical decision tree structure comprises nodes and edges, wherein a node represents the state-of-mind of the consumer, the number of nodes is predefined, and an edge represents the transition of the decision. The decisions for each product group are captured down to the product attribute level and analyzed by demographic group. The outcome provides relative importance of each product attribute in the purchase decision process, and helps retailers and manufacturers to evaluate the layout of the category and customize it for key segment.
摘要翻译：本发明是用于确定消费者在产品类别之前的分层购买决策过程的系统和方法。消费者的决策路径是通过使用一组摄像机和软件，基于观察到的实际店内购买行为，通过将行为数据与类别布局和交易数据相结合来获取，以提取每个消费者决策过程的顺序和时间。分层决策树结构包括节点和边缘，其中节点表示消费者的心态，预定的节点数量，边缘表示决策的转换。每个产品组的决策被捕获到产品属性级别，并由人口统计组进行分析。结果在购买决策过程中提供了每个产品属性的相对重要性，并帮助零售商和制造商评估该类别的布局，并为关键部分进行定制。

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