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11. 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。

12. 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。

13. 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。

14. 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。

15. 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。

16. 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.

17. 发明授权

US07319779B1 Classification of humans into multiple age categories from digital images 有权
标题翻译：人类从数字图像分类成多个年龄类别
公开(公告)号：US07319779B1
公开(公告)日：2008-01-15
申请号：US11004299
申请日：2004-12-03
申请人： Satish Mummareddy , Rajeev Sharma
发明人： Satish Mummareddy , Rajeev Sharma
IPC分类号： G06K9/00
CPC分类号： G06K9/00288 , G06K9/6282 , G06K2009/00322
摘要： The present invention includes a method and system for automatically extracting the multi-class age category information of a person from digital images. The system detects the face of the person(s) in an image, extracts features from the face(s), and then classifies into one of the multiple age categories. Using appearance information from the entire face gives better results as compared to currently known techniques. Moreover, the described technique can be used to extract age category information in more robust manner than currently known methods, in environments with a high degree of variability in illumination, pose and presence of occlusion. Besides use as an automated data collection system wherein given the necessary facial information as the data, the age category of the person is determined automatically, the method could also be used for targeting certain age-groups in advertisements, surveillance, human computer interaction, security enhancements and immersive computer games.
摘要翻译：本发明包括一种用于从数字图像中自动提取人的多类别年龄类别信息的方法和系统。系统检测图像中人物的脸部，从脸部提取特征，然后分类为多个年龄类别中的一个。与现有技术相比，使用整个脸部的外观信息可以获得更好的效果。此外，在照明，姿势和存在闭塞的高度变异性的环境中，所描述的技术可以用于以比目前已知的方法更鲁棒的方式提取年龄类别信息。除了作为自动数据收集系统使用，其中给定必要的面部信息作为数据，人的年龄类别被自动确定，该方法还可以用于针对广告，监视，人机交互，安全性中的某些年龄组增强和沉浸式电脑游戏。

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