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31. 发明授权

US08433612B1 Method and system for measuring packaging effectiveness using video-based analysis of in-store shopper response 有权
标题翻译：使用店内购物者回应的视频分析来测量包装效果的方法和系统
公开(公告)号：US08433612B1
公开(公告)日：2013-04-30
申请号：US12079624
申请日：2008-03-27
申请人： Rajeev Sharma , Priya Baboo , Namsoon Jung
发明人： Rajeev Sharma , Priya Baboo , Namsoon Jung
IPC分类号： G06Q30/00
CPC分类号： G06Q30/06
摘要： The present invention is a method and system for measuring packaging effectiveness based on video-based analysis of people in the vicinity of a plurality of package concepts. The present invention measures the response of people to the different packaging concepts, wherein the quantified response measurement shows the ability of the packaging concepts to attract, engage, and motivate people to purchase. The video-based analysis comprises behavior analysis, demographic analysis, and emotion change detection in response to the package effectiveness. The present invention captures a plurality of input images of the people in the vicinity of a plurality of package concepts by a plurality of means for capturing images. The plurality of input images is processed in order to understand the effectiveness of packaging design and changes. The processes are based on a novel usage of a plurality of computer vision technologies to analyze the visual characterization of the people from the plurality of input images in relation to the packaging design and changes.
摘要翻译：本发明是一种基于对多个包装概念附近的人的视频分析来测量包装效率的方法和系统。本发明测量人们对不同包装概念的反应，其中量化响应测量显示了包装概念吸引，参与和激励人们购买的能力。基于视频的分析包括行为分析，人口统计分析和情绪变化检测，以响应包的有效性。本发明通过用于捕获图像的多个装置捕获多个包装概念附近的人的多个输入图像。处理多个输入图像以了解包装设计和变化的有效性。这些过程基于多个计算机视觉技术的新颖用途，以便相对于包装设计和变化分析来自多个输入图像的人的视觉特征。

32. 发明授权

US08219438B1 Method and system for measuring shopper response to products based on behavior and facial expression 有权
标题翻译：基于行为和面部表情测量购物者对产品的反应的方法和系统
公开(公告)号：US08219438B1
公开(公告)日：2012-07-10
申请号：US12215879
申请日：2008-06-30
申请人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
发明人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
IPC分类号： G06Q10/00
CPC分类号： G06Q30/0201 , G06Q30/0202 , G06Q30/0204
摘要： The present invention is a method and system for measuring human response to retail elements, based on the shopper's facial expressions and behaviors. From a facial image sequence, the facial geometry—facial pose and facial feature positions—is estimated to facilitate the recognition of facial expressions, gaze, and demographic categories. The recognized facial expression is translated into an affective state of the shopper and the gaze is translated into the target and the level of interest of the shopper. The body image sequence is processed to identify the shopper's interaction with a given retail element—such as a product, a brand, or a category. The dynamic changes of the affective state and the interest toward the retail element measured from facial image sequence is analyzed in the context of the recognized shopper's interaction with the retail element and the demographic categories, to estimate both the shopper's changes in attitude toward the retail element and the end response—such as a purchase decision or a product rating.
摘要翻译：本发明是一种用于根据购物者的面部表情和行为测量人对零售元素的反应的方法和系统。从面部图像序列中，面部几何面部姿势和面部特征位置被估计为便于识别面部表情，凝视和人口统计学类别。公认的面部表情被转化为购物者的情感状态，并将目光转化为目标和购物者的兴趣水平。处理身体图像序列以识别购物者与给定零售元件（例如产品，品牌或类别）的交互。在识别购物者与零售元素和人口特征类别的相互作用的背景下分析情感状态的动态变化以及从面部图像序列测量的零售元素的兴趣，以估计购物者对零售元素的态度变化和结束响应 - 例如购买决定或产品评级。

33. 发明授权

US08010402B1 Method for augmenting transaction data with visually extracted demographics of people using computer vision 有权
标题翻译：通过使用计算机视觉的人的视觉提取的人口统计学来增加交易数据的方法
公开(公告)号：US08010402B1
公开(公告)日：2011-08-30
申请号：US12386654
申请日：2009-04-21
申请人： Rajeev Sharma , Hankyu Moon , Varij Saurabh , Namsoon Jung
发明人： Rajeev Sharma , Hankyu Moon , Varij Saurabh , Namsoon Jung
IPC分类号： G06Q10/00 , G06Q30/00 , G06Q90/00
CPC分类号： G06Q10/00 , G06Q30/00 , G06Q30/0201 , G06Q30/0251 , G06Q99/00
摘要： The present invention is a system and framework for augmenting any retail transaction system with information about the involved customers. This invention provides a method to combine the transaction data records and a customer or a group of customers with the automatically extracted demographic features (e.g., gender, age, and ethnicity), shopping group information, and behavioral information using computer vision algorithms. First, the system detects faces from face view, tracks them individually, and estimates poses of each of the tracked faces to normalize. These facial images are processed by the demographics classification module to determine and record the demographics feature vector. The system detects and tracks customers to analyze the dynamic behavior of the tracked customers so that their shopping group membership and checkout behavior can be recognized. Then the instances of faces and the instances of bodies can be matched and combined. Finally, the transaction data from the transaction data and the demographics, group, and checkout behavior data that belong to the same person or the same group of people are combined.
摘要翻译：本发明是用于利用关于所涉及的客户的信息来增加任何零售交易系统的系统和框架。本发明提供了一种使用计算机视觉算法将交易数据记录与客户或一组客户结合自动提取的人口特征（例如，性别，年龄和种族），购物组信息和行为信息的方法。首先，系统从脸部视图检测面部，分别跟踪它们，并估计每个跟踪面的姿态进行归一化。这些面部图像由人口统计分类模块处理，以确定和记录人口统计特征向量。系统检测并跟踪客户分析跟踪客户的动态行为，以便识别其购物组成员资格和结帐行为。然后可以匹配和组合面部和实体的实例。最后，来自交易数据的交易数据以及属于同一人或同一群人的人口统计，群体和结帐行为数据相结合。

34. 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。

35. 发明授权

US07912246B1 Method and system for determining the age category of people based on facial images 有权
标题翻译：基于面部图像确定人群年龄类别的方法和系统
公开(公告)号：US07912246B1
公开(公告)日：2011-03-22
申请号：US12011748
申请日：2008-01-29
申请人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
发明人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
IPC分类号： G06K9/00
CPC分类号： G06K9/6214 , G06K9/00221 , G06K9/6267 , G06K2009/00322
摘要： The present invention is a system and method for performing age classification or age estimation based on the facial images of people, using multi-category decomposition architecture of classifiers. In the multi-category decomposition architecture, which is a hybrid multi-classifier architecture specialized to age classification, the task of learning the concept of age against significant within-class variations, is handled by decomposing the set of facial images into auxiliary demographics classes, and the age classification is performed by an array of classifiers where each classifier, called an auxiliary class machine, is specialized to the given auxiliary class. The facial image data is annotated to assign the gender and ethnicity labels as well as the age labels. Each auxiliary class machine is trained to output both the given auxiliary class membership likelihood and the age group likelihoods. Faces are detected from the input image and individually tracked. Age sensitive feature vectors are extracted from the tracked faces and are fed to all of the auxiliary class machines to compute the desired likelihood outputs. The outputs from all of the auxiliary class machines are combined in a manner to make a final decision on the age of the given face.
摘要翻译：本发明是使用分类器的多类别分解架构，基于人脸的图像来进行年龄分类或年龄估计的系统和方法。在多类别分解架构中，它是专门用于年龄分类的混合多分类器架构，通过将面部图像集合分解为辅助人口统计学类来处理年龄对概念内部变化的概念的任务，并且年龄分类由分类器阵列执行，其中每个分类器（称为辅助类机器）专用于给定的辅助类。注释面部图像数据以分配性别和种族标签以及年龄标签。每个辅助类机器被训练以输出给定辅助类隶属度可能性和年龄组可能性。从输入图像检测面部并单独跟踪。从跟踪面提取年龄敏感特征向量，并将其馈送到所有辅助类机器以计算所需似然输出。所有辅助类机器的输出结合起来，对给定面孔的年龄进行最终决定。

36. 发明授权

US07903141B1 Method and system for event detection by multi-scale image invariant analysis 有权
标题翻译：通过多尺度图像不变量分析进行事件检测的方法和系统
公开(公告)号：US07903141B1
公开(公告)日：2011-03-08
申请号：US11353264
申请日：2006-02-14
申请人： Vladimir Mariano , Rajeev Sharma
发明人： Vladimir Mariano , Rajeev Sharma
IPC分类号： H04N7/18 , G06K9/00
CPC分类号： H04N7/18 , G06K9/00771
摘要： The present invention is a method and system for detecting scene events in an imaged sequence by analysis of occlusion of user-defined regions of interest in the image. The present invention is based on the multi-scale groups of nearby pixel locations employing contrast functions, a feature that is invariant to changing illumination conditions. The feature allows the classification of each pixel location in the region of interest as occluded or not. Scene events, based on the occlusion of the regions of interest, are defined and subsequently detected in an image sequence. Example applications of this invention are automated surveillance of persons for security, and automated person counting, tracking and aisle-touch detection for market research.
摘要翻译：本发明是一种通过分析图像中用户定义的感兴趣区域的遮挡来检测成像序列中的场景事件的方法和系统。本发明基于采用对比度功能的附近像素位置的多尺度组，这是不变地改变照明条件的特征。该特征允许将感兴趣区域中的每个像素位置分类为闭塞。基于感兴趣区域的遮挡的场景事件被定义并随后在图像序列中检测。本发明的示例应用是用于安全的人员的自动监视，以及用于市场研究的自动人员计数，跟踪和过道触摸检测。

37. 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。

38. 发明授权

US07227976B1 Method and system for real-time facial image enhancement 有权
标题翻译：用于实时面部图像增强的方法和系统
公开(公告)号：US07227976B1
公开(公告)日：2007-06-05
申请号：US10609245
申请日：2003-06-27
申请人： Namsoon Jung , Rajeev Sharma
发明人： Namsoon Jung , Rajeev Sharma
IPC分类号： G06K9/00 , G06T15/00 , A61B3/10
CPC分类号： G06T11/00 , G06K9/00228 , G06T7/20
摘要： The present invention is a system and method for detecting facial features of humans in a continuous video and superimposing virtual objects onto the features automatically and dynamically in real-time. The suggested system is named Facial Enhancement Technology (FET). The FET system consists of three major modules, initialization module, facial feature detection module, and superimposition module. Each module requires demanding processing time and resources by nature, but the FET system integrates these modules in such a way that real time processing is possible. The users can interact with the system and select the objects on the screen. The superimposed image moves along with the user's random motion dynamically. The FET system enables the user to experience something that was not possible before by augmenting the person's facial images. The hardware of the FET system comprises the continuous image-capturing device, image processing and controlling system, and output display system.
摘要翻译：本发明是用于在连续视频中检测人的面部特征并且将虚拟对象实时地自动和动态地叠加到特征上的系统和方法。建议的系统称为面部增强技术（FET）。 FET系统由三个主要模块，初始化模块，面部特征检测模块和叠加模块组成。每个模块本质上都需要苛刻的处理时间和资源，但FET系统可以以实时处理的方式集成这些模块。用户可以与系统进行交互，并在屏幕上选择对象。叠加的图像随着用户的随机运动动态移动。 FET系统使用户能够通过增强人脸部图像来体验以前不可能的东西。 FET系统的硬件包括连续的图像捕获设备，图像处理和控制系统以及输出显示系统。

39. 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.

40. 发明授权

US10387896B1 At-shelf brand strength tracking and decision analytics 有权
公开(公告)号：US10387896B1
公开(公告)日：2019-08-20
申请号：US15140283
申请日：2016-04-27
申请人： Jeff Hershey , Rajeev Sharma , Richard Hirata , Krishna Botla
发明人： Jeff Hershey , Rajeev Sharma , Richard Hirata , Krishna Botla
IPC分类号： G06Q10/00 , G06Q30/02 , H04N5/247 , G06K9/00
摘要： A method and system for analyzing product strength or brand strength by determining shopper decision behavior during a shopping trip. Specifically, shopper behavior can be analyzed to determine whether a shopper's decision to purchase an item occurred at-shelf or pre-shelf. Aggregating decision data across many shoppers over time can then be used to generate analytics regarding the strength of a product or brand. The analysis can then be used to make recommendations to manufacturers or retailers about how to strengthen the product or brand. A deployment of cameras and mobile signal sensors can be utilized to recognize shoppers and track their behavior. Demographics information can also be estimated about the tracked shoppers. The visual and mobile signal trajectories can be fused to form a single shopper trajectory, then associated with Point of Sale (PoS) data. This results in a dataset describing the shopping trip for each tracked shopper.

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