公开(公告)号：US11151584B1

公开(公告)日：2021-10-19

申请号：US12220076

申请日：2008-07-21

申请人： Rajeev Sharma ,  Varij Saurabh ,  Priya Baboo ,  Namsoon Jung

发明人： Rajeev Sharma ,  Varij Saurabh ,  Priya Baboo ,  Namsoon Jung

IPC分类号： G06Q30/02 ,  G06K9/00 ,  G06Q30/06

摘要： The present invention is a method and system for capturing a dataset over time that represents the response of shoppers to a set of marketing and merchandising stimuli or “elements”. The response includes exposure metrics, engagement metrics and conversion metrics for different shopper segments. The shopper segments may be defined by demographics such as gender, age and ethnicity or by the type of trip, such as a quick trip or a fill-up trip. The system comprises a plurality of means for capturing images, such as cameras, covering the area of interest in the vicinity of the marketing or merchandising element. The method comprises automated and semi-automated analysis of the video to extract the shopper behavior and demographics data for computing the defined metrics. The captured data can be further combined with information such a promotions and advertisement outside the store to further enhance the applications of the data collected in-store from the invention. The captured shopper data can be used for many applications such as comparison of the effectiveness of different marketing elements or the relative effectiveness of different types of promotions, variation of the relative effectiveness of different marketing elements over time or differences between the relative effectiveness of a marketing element for different demographic segments.

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。

公开(公告)号：US08577705B1

公开(公告)日：2013-11-05

申请号：US12317918

申请日：2008-12-30

申请人： Priya Baboo ,  Rajeev Sharma ,  Varij Saurabh ,  Namsoon Jung

发明人： Priya Baboo ,  Rajeev Sharma ,  Varij Saurabh ,  Namsoon Jung

IPC分类号： G06Q40/00

CPC分类号： G06Q30/02

摘要： The present invention is a method and system for measuring a set of shopper behavior metrics that represent the strength of a product category or a group of categories in the performance of a store area. A set of rating parameters are defined in order to provide a unified and standardized rating system. The rating system represents the effectiveness of the product category in a store area. The metrics are defined in a manner that is normalized so that they can be used across different types of product categories. The datasets are measured per category or group of categories over time to identify how the strength has varied over time, and to monitor trends in the category performance. The measured datasets are further analyzed based on various demographic groups and behavior segments. The analysis facilitates a better understanding of the strength of the category for different shopper segments, which in turn can be applied for developing better store area optimization strategies.

摘要翻译： 本发明是一种用于测量一组购物者行为度量的方法和系统，所述购物者行为度量表示商店区域的表现中的产品类别或一组类别的强度。 定义一组评级参数，以提供统一和标准化的评级系统。 评级系统代表了商店区域中产品类别的有效性。 度量是以规范化的方式定义的，以便它们可以跨不同类型的产品类别使用。 随着时间的推移，每个类别或一组类别测量数据集，以确定强度随时间变化的方式，并监测类别绩效的趋势。 根据不同的人口统计组和行为部分进一步分析测量的数据集。 该分析有助于更好地了解不同购物者细分的类别的强度，从而可以应用于开发更好的店面优化策略。

公开(公告)号：US07921036B1

公开(公告)日：2011-04-05

申请号：US12459282

申请日：2009-06-29

申请人： Rajeev Sharma ,  Namsoon Jung ,  Hankyu Moon ,  Varij Saurabh

发明人： Rajeev Sharma ,  Namsoon Jung ,  Hankyu Moon ,  Varij Saurabh

IPC分类号： G06F170/60

CPC分类号： G06Q30/02 ,  G06Q20/3674 ,  G06Q30/0251 ,  G06Q30/0269

摘要： The present invention is a method and system for selectively executing content on a display based on the automatic recognition of predefined characteristics, including visually perceptible attributes, such as the demographic profile of people identified automatically using a sequence of image frames from a video stream. The present invention detects the images of the individual or the people from captured images. The present invention automatically extracts visually perceptible attributes, including demographic information, local behavior analysis, and emotional status, of the individual or the people from the images in real time. The visually perceptible attributes further comprise height, skin color, hair color, the number of people in the scene, time spent by the people, and whether a person looked at the display. A targeted media is selected from a set of media pools, according to the automatically-extracted, visually perceptible attributes and the feedback from the people.

摘要翻译： 本发明是一种用于基于自动识别预定义特征（包括视觉上可感知的属性）来选择性地执行内容的方法和系统，例如使用来自视频流的图像帧序列自动识别的人员的人口统计。 本发明从拍摄图像中检测个人或人物的图像。 本发明实时地从图像自动提取个人或人的视觉上可感知的属性，包括人口统计信息，本地行为分析和情绪状态。 视觉上可感知的属性还包括高度，肤色，头发颜色，场景中的人数，人们花费的时间以及人是否看着显示器。 根据自动提取的，视觉上可察觉的属性和来自人们的反馈，从一组媒体池中选择目标媒体。

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。

公开(公告)号：US09747497B1

公开(公告)日：2017-08-29

申请号：US12386655

申请日：2009-04-21

申请人： Rajeev Sharma ,  Varij Saurabh ,  Namsoon Jung

发明人： Rajeev Sharma ,  Varij Saurabh ,  Namsoon Jung

IPC分类号： G06K9/00

CPC分类号： G06K9/00369 ,  G06K9/00771 ,  G06Q30/00

摘要： The present invention is a method and system for rating in-store media elements based on the measurement for behavior patterns and demographics of the audience in the vicinity of the media element, where a plurality of input images of the audience are captured by at least a means for capturing images in the vicinity of the media element. The input images are processed by automated video analytic algorithms in order to measure the behavior patterns and demographics of each person in the audience tied to the media element. The measurements for the behavior patterns and demographics of the audience from the target media elements are aggregated. A set of ratings for the media element is calculated based on the measurements. The measured media elements are sampled, and the audience measurement for the sample is extrapolated to other media elements for in-store locations or for a group of stores. The ratings are converted into a standardized output. The standardized output facilitates comparisons among a plurality of media elements. The rating can be used to plan media types in the media element for reaching targeted demographics.

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。

公开(公告)号：US08812344B1

公开(公告)日：2014-08-19

申请号：US12459283

申请日：2009-06-29

申请人： Varij Saurabh ,  Namsoon Jung ,  Rajeev Sharma

发明人： Varij Saurabh ,  Namsoon Jung ,  Rajeev Sharma

IPC分类号： G06Q10/00 ,  G06Q30/02

CPC分类号： G06Q30/0201 ,  G06K9/00778

摘要： The present invention is a system, method, and apparatus for determining the impact of crowding on retail performance based on a measurement for behavior patterns of people in a store area. The present invention captures a plurality of input images of the people by at least a means for capturing images, such as cameras, in the store area. In the captured plurality of input images, each person's shopping path is detected by a video analytics-based tracking algorithm. A subset of the people is identified as a crowd in the store area. In relation to the crowd, the behavior patterns of the target person are measured. After aggregating the measurements for the behavior patterns over a predefined window of time, the present invention can calculate a crowd index and a crowd impact index for the store area based on the measurements. A crowd index shows the level of crowd density in the store area caused by a crowd, including traffic count of the crowd in the store area. A crowd impact index comprises a traffic count of the target people who make trips to the store area and a shopping time index, such as average shopping time changes of the target people, in relation to a crowd in the measured store area.

摘要翻译： 本发明是一种用于基于对商店区域中的人的行为模式的测量来确定拥挤对零售业绩的影响的系统，方法和装置。 本发明通过至少一种用于在商店区域中捕获诸如照相机之类的图像的装置捕获人的多个输入图像。 在所捕获的多个输入图像中，通过基于视频分析的跟踪算法来检测每个人的购物路径。 人们的一小部分被确定为商店区域的人群。 针对人群，衡量目标人员的行为模式。 在预定时间窗口聚集了行为模式的测量之后，本发明可以基于测量来计算存储区域的人群指数和人群影响指数。 人群指数显示人群造成的店面人群密度，包括店面人群的流量。 人群影响指数包括与测量商店区域中的人群相关的进入商店区域的目标人群的交通计数和目标人群的平均购物时间变化等购物时间指数。

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。

公开(公告)号：US11367083B1

公开(公告)日：2022-06-21

申请号：US12313459

申请日：2008-11-20

申请人： Varij Saurabh ,  Rajeev Sharma ,  Namsoon Jung

发明人： Varij Saurabh ,  Rajeev Sharma ,  Namsoon Jung

IPC分类号： G06Q30/02

摘要： The present invention is a method and system for evaluating relative effectiveness of content in a digital signage network, using a series of measurements to compare and evaluate different contents. The measurements are performed on a plurality of input images of the people captured by a plurality of means for capturing images in the vicinity of at least a digital signage. The present invention is a content rating system based on how the audience responds to the digital content in the intended context of digital media network in-store or in other public viewing areas. The present invention allows the measurement of the response to the content for different segments, further allowing for better planning of the content and optimizing the advertising dollars.