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11. 发明授权

US09740977B1 Method and system for recognizing the intentions of shoppers in retail aisles based on their trajectories 有权
公开(公告)号：US09740977B1
公开(公告)日：2017-08-22
申请号：US12455295
申请日：2009-05-29
申请人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
发明人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
IPC分类号： G06N5/00 , G06N7/00 , G06T7/00
CPC分类号： G06N5/00 , G06K9/00771 , G06N7/005 , G06Q30/02 , G06T7/00
摘要： The present invention is a method and system for automatically recognizing which products a shopper intends to find or purchase based on the shopper's trajectory in a retail aisle. First, the system detects and tracks the person to generate the trajectory of the shopper. Then some of the dynamic features are extracted from the shopper trajectory. The shopper trajectory features of a given trajectory are typically the positions, the motion orientations, and speeds at each point of the trajectory. A shopper behavior model is designed based on some of the primitive actions of shoppers. The last step of the method is to analyze a given shopper trajectory to estimate the shopper's intention. The step either utilizes decision rules based on the extracted shopper trajectory features, or utilizes a trained Hidden Markov Model, to estimate the progression of the primitive actions from the trajectory. The decoded progression of the shopper behavior states is then interpreted to finally determine the shopper's intention.

12. 发明授权

US08570376B1 Method and system for efficient sampling of videos using spatiotemporal constraints for statistical behavior analysis 有权
标题翻译：使用时空约束对视频进行有效采样的方法和系统进行统计行为分析
公开(公告)号：US08570376B1
公开(公告)日：2013-10-29
申请号：US12313359
申请日：2008-11-19
申请人： Rajeev Sharma , Namsoon Jung
发明人： Rajeev Sharma , Namsoon Jung
IPC分类号： H04N7/18 , G06K9/00
CPC分类号： H04N7/18 , G06K9/00751 , G06K9/00771 , G06Q30/02
摘要： The present invention is a method and system for selecting and storing videos by applying semantically-meaningful selection criteria to the track sequences of the trips made by people in an area covered by overlapping multiple cameras. The present invention captures video streams of the people in the area by multiple cameras and tracks the people in each of the video streams, producing track sequences in each video stream. The present invention determines a first set of video segments that contains the trip information of the people, and compacts each of the video streams by removing a second set of video segments that do not contain the trip information of the people from each of the video streams. The present invention selects video segments from the first set of video segments based on predefined selection criteria for the statistical behavior analysis. The stored video data is an efficient compact format of video segments that contain the track sequences of the people and selected according to semantically-meaningful and domain-specific selection criteria. The final storage format of the videos is a trip-centered format, which sequences videos from across multiple cameras, and it can be used to facilitate multiple applications dealing with behavior analysis in a specific domain.
摘要翻译：本发明是一种通过将语义上有意义的选择标准应用于由重叠的多个照相机覆盖的区域中的人们进行的旅行的轨道序列来选择和存储视频的方法和系统。本发明通过多个摄像机捕获该区域中的人的视频流，并且跟踪每个视频流中的人，并产生每个视频流中的轨道序列。本发明确定包含人员的行程信息的第一组视频段，并通过从每个视频流中移除不包含人员的行程信息的第二组视频段来压缩每个视频流。本发明基于用于统计行为分析的预定义的选择标准从第一组视频片段中选择视频段。存储的视频数据是包含人的轨道序列并根据语义有意义的和特定于领域的选择标准来选择的视频片段的有效的紧凑格式。视频的最终存储格式是一种以行程为中心的格式，可以对来自多个摄像机的视频进行排序，并可用于促进处理特定域中行为分析的多个应用程序。

13. 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。

14. 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。

15. 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。

16. 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。

17. 发明授权

US10083358B1 Association of unique person to point-of-sale transaction data 有权
公开(公告)号：US10083358B1
公开(公告)日：2018-09-25
申请号：US15220052
申请日：2016-07-26
申请人： Joonhwa Shin , Rajeev Sharma , Youngrock Yoon , Donghun Kim
发明人： Joonhwa Shin , Rajeev Sharma , Youngrock Yoon , Donghun Kim
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00295
摘要： A method and system for associating an image of a face of at least a person with Point-of-Sale (PoS) data by aligning a first event time series with a second event time series based on a dynamic time disparity. An exemplary embodiment can generate an event time series containing facial recognition data for a person or persons during the PoS transaction process. These data can form a vision-based checkout event time series. An embodiment can also collect PoS transaction data from the retail checkout system, using timestamp information to create a second event time series. As there may be a time disparity between the time series, they can then be aligned in order to match events from one time series to the other. Faces identified in checkout events in the first time series can be registered to PoS events and the results stored in a database.

18. 发明授权

US09161084B1 Method and system for media audience measurement by viewership extrapolation based on site, display, and crowd characterization 有权
标题翻译：基于网站，展示和人群表征的观众推断的媒体观众测量方法和系统
公开(公告)号：US09161084B1
公开(公告)日：2015-10-13
申请号：US13998392
申请日：2013-10-29
申请人： Rajeev Sharma , Namsoon Jung , Joonhwa Shin
发明人： Rajeev Sharma , Namsoon Jung , Joonhwa Shin
IPC分类号： H04N7/16 , H04H60/33 , H04H60/45 , H04H60/56 , H04H60/32 , H04N21/442 , H04N21/4223
CPC分类号： H04N21/44218 , G06K9/00778 , H04H60/33 , H04N21/4223
摘要： The present invention provides a comprehensive method to design an automatic media audience measurement system that can estimate the site-wide audience of a media of interest (e.g., the site-wide viewership of a target display) based on the measurements of a subset of the actual audience sampled from a limited space in the site. This invention enables (1) the placement of sensors in optimal positions for the viewership data measurement and (2) the estimation of the site-wide viewership of the target display by performing the viewership extrapolation based on the sampled viewership data. The viewership extrapolation problem is formulated in a way that the time-varying crowd dynamics around the target display is an important decisive factor as well as the sampled viewership data at a given time in yielding the estimated site-wide viewership. To solve this problem, the system elements that affect the viewership—site, display, crowd, and audience—and their relationships are first identified in terms of the visibility, the viewership relevancy, and the crowd occupancy. The optimal positions of the sensors are determined to cover the maximum area of the viewership with high probabilities. The viewership extrapolation function is then modeled and learned from the sampled viewership data, the site-wide viewership data, and the crowd dynamics measurements while removing the noise in the sampled viewership data using the viewership relevancy of the measurements to the target display.
摘要翻译：本发明提供了一种全面的方法来设计自动媒体观众测量系统，该系统可以基于对所述媒体的子集的测量来估计感兴趣的媒体的站点范围的受众（例如，目标显示的站点范围的收视率）实地观众从网站上的有限空间抽样。本发明使得（1）将传感器放置在用于观众数据测量的最佳位置，以及（2）通过基于所抽样的观看数据执行观看量外推来估计目标显示的站点范围的收视。观众推论问题的制定方式是，在目标展示范围内的时变人群动态是一个重要的决定性因素，以及在给定时间抽样的观众数据，以产生估计的全厂范围的观众人数。为了解决这个问题，影响观众网站，展示，人群和观众的系统元素及其关系首先根据可见度，观众人数相关性和人群占有率来确定。传感器的最佳位置被确定为以高概率覆盖观众的最大面积。然后，通过采样的观众数据，网站范围的观众数据和人群动态测量，对观众推论功能进行建模和学习，同时使用测量与目标显示的观众关联度来消除采集的观众数据中的噪点。

19. 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。

20. 发明授权

US08665333B1 Method and system for optimizing the observation and annotation of complex human behavior from video sources 有权
标题翻译：从视频源优化复杂人类行为观察和注释的方法和系统
公开(公告)号：US08665333B1
公开(公告)日：2014-03-04
申请号：US12011385
申请日：2008-01-25
申请人： Rajeev Sharma , Satish Mummareddy , Emilio Schapira , Namsoon Jung
发明人： Rajeev Sharma , Satish Mummareddy , Emilio Schapira , Namsoon Jung
IPC分类号： H04N7/18
CPC分类号： G08B13/19613 , G06K9/00771 , G08B13/19643
摘要： The present invention is a method and system for optimizing the observation and annotation of complex human behavior from video sources by automatically detecting predefined events based on the behavior of people in a first video stream from a first means for capturing images in a physical space, accessing a synchronized second video stream from a second means for capturing images that are positioned to observe the people more closely using the timestamps associated with the detected events from the first video stream, and enabling an annotator to annotate each of the events with more labels using a tool. The present invention captures a plurality of input images of the persons by a plurality of means for capturing images and processes the plurality of input images in order to detect the predefined events based on the behavior in an exemplary embodiment. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the human behavior from the plurality of input images. The physical space may be a retail space, and the people may be customers in the retail space.
摘要翻译：本发明是一种通过基于来自用于在物理空间中捕获图像的第一装置的第一视频流中的人的行为自动检测预定义事件来优化来自视频源的复杂人类行为的观察和注释的方法和系统，来自第二装置的同步的第二视频流，用于捕获被定位为使用与来自第一视频流的检测到的事件相关联的时间戳来更密切地观察人的图像，并且使得注释器能够使用更多的标签来注释每个事件工具。本发明通过多个用于捕捉图像并且处理多个输入图像的装置捕获人的多个输入图像，以便在示例性实施例中基于行为来检测预定事件。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类行为。物理空间可能是零售空间，人们也许是零售空间的客户。

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