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1. 发明授权

US09317785B1 Method and system for determining ethnicity category of facial images based on multi-level primary and auxiliary classifiers 有权
标题翻译：基于多级主辅分类器确定面部图像种族类别的方法和系统
公开(公告)号：US09317785B1
公开(公告)日：2016-04-19
申请号：US14257816
申请日：2014-04-21
申请人： Hankyu Moon , Rajeev Sharma , Namsoon Jung , Joonhwa Shin
发明人： Hankyu Moon , Rajeev Sharma , Namsoon Jung , Joonhwa Shin
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/6267 , G06K9/00234 , G06K9/00288 , G06K9/6292 , G06K9/6857 , G06K2009/00322 , G06T2207/30201
摘要： The present invention is a system and method for performing ethnicity classification based on the facial images of people, using multi-category decomposition architecture of classifiers, which include a set of predefined auxiliary classifiers that are specialized to auxiliary features of the facial images. In the multi-category decomposition architecture, which is a hybrid multi-classifier architecture specialized to ethnicity classification, the task of learning the concept of ethnicity against significant within-class variations, is handled by decomposing the set of facial images into auxiliary demographics classes; the ethnicity 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 age and gender labels as well as the ethnicity labels. Each auxiliary class machine is trained to output both the given auxiliary class membership likelihood and the ethnicity likelihoods. Faces are detected from the input image, individually tracked, and fed to all the auxiliary class machines to compute the desired auxiliary class membership and ethnicity likelihood outputs. The outputs from all the auxiliary class machines are combined in a manner to make a final decision on the ethnicity of the given face.
摘要翻译：本发明是一种使用分类器的多类别分解架构，基于人脸部图像进行种族分类的系统和方法，其包括专门针对面部图像的辅助特征的一组预定义的辅助分类器。在专门用于种族分类的混合多分类架构的多类别分解架构中，通过将面部图像集合分解为辅助人口统计学类来处理种族对概念内部变化的概念的任务; 种族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。注意面部图像数据以分配年龄和性别标签以及种族标签。训练每个辅助类机器输出给定的辅助类成员资格似然率和种族可能性。从输入图像检测到面部，单独跟踪并馈送到所有辅助类机器，以计算所需的辅助类成员和种族似然输出。所有辅助类机器的输出结合起来，对给定面孔的种族做出最终决定。

2. 发明授权

US08462996B2 Method and system for measuring human response to visual stimulus based on changes in facial expression 有权
公开(公告)号：US08462996B2
公开(公告)日：2013-06-11
申请号：US12154002
申请日：2008-05-19
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： G06K9/00335 , G06K9/00315
摘要： The present invention is a method and system for measuring human emotional response to visual stimulus, based on the person's facial expressions. Given a detected and tracked human face, it is accurately localized so that the facial features are correctly identified and localized. Face and facial features are localized using the geometrically specialized learning machines. Then the emotion-sensitive features, such as the shapes of the facial features or facial wrinkles, are extracted. The facial muscle actions are estimated using a learning machine trained on the emotion-sensitive features. The instantaneous facial muscle actions are projected to a point in affect space, using the relation between the facial muscle actions and the affective state (arousal, valence, and stance). The series of estimated emotional changes renders a trajectory in affect space, which is further analyzed in relation to the temporal changes in visual stimulus, to determine the response.

3. 发明授权

US08379937B1 Method and system for robust human ethnicity recognition using image feature-based probabilistic graphical models 有权
标题翻译：使用基于图像特征的概率图形模型进行强壮人类种族识别的方法和系统
公开(公告)号：US08379937B1
公开(公告)日：2013-02-19
申请号：US12286233
申请日：2008-09-29
申请人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
发明人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00281 , G06K9/4609
摘要： The present invention is a method and system to provide a face-based automatic ethnicity recognition system that utilizes ethnicity-sensitive image features and probabilistic graphical models to represent ethnic classes. The ethnicity-sensitive image features are derived from groups of image features so that each grouping of the image features contributes to more accurate recognition of the ethnic class. The ethnicity-sensitive image features can be derived from image filters that are matched to different colors, sizes, and shapes of facial features—such as eyes, mouth, or complexion. The ethnicity-sensitive image features serve as observable quantities in the ethnic class-dependent probabilistic graphical models, where each probabilistic graphical model represents one ethnic class. A given input facial image is corrected for pose and lighting, and ethnicity-sensitive image features are extracted. The extracted image features are fed to the ethnicity-dependent probabilistic graphical models to determine the ethnic class of the input facial image.
摘要翻译：本发明是一种提供基于脸部的自动种族识别系统的方法和系统，该系统利用民族敏感的图像特征和概率图形模型来表示族裔阶层。种族敏感的图像特征是从图像特征的组中导出的，使得每一组图像特征有助于更准确地识别民族阶层。种族敏感的图像特征可以从匹配于不同颜色，尺寸和面部特征（例如眼睛，嘴巴或肤色）的形状的图像滤波器导出。种族敏感的图像特征在民族阶级依赖概率图形模型中可以作为可观察量，其中每个概率图形模型代表一个民族阶级。针对姿态和照明校正给定的输入面部图像，并提取种族敏感的图像特征。提取的图像特征被馈送到种族依赖概率图形模型以确定输入面部图像的民族类别。

4. 发明申请

US20080109397A1 Automatic detection and aggregation of demographics and behavior of people 有权
标题翻译：人口统计学和人际行为的自动检测和聚合
公开(公告)号：US20080109397A1
公开(公告)日：2008-05-08
申请号：US12002398
申请日：2007-12-17
申请人： Rajeev Sharma , Hankyu Moon , Namsoon Jung
发明人： Rajeev Sharma , Hankyu Moon , Namsoon Jung
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： The present invention is a system and framework for automatically measuring and correlating visual characteristics of people and accumulating the data for the purpose of demographic and behavior analysis. The demographic and behavior characteristics of people are extracted from a sequence of images using techniques from computer vision. The demographic and behavior characteristics are combined with a timestamp and a location marker to provide a feature vector of a person at a particular time at a particular location. These feature vectors are then accumulated and aggregated automatically in order to generate a data set that can be statistically analyzed, data mined and/or queried.
摘要翻译：本发明是用于自动测量和关联人的视觉特征并且为了人口和行为分析的目的而累积数据的系统和框架。使用计算机视觉技术从图像序列中提取人的人口和行为特征。人口统计学和行为特征与时间戳和位置标记组合，以在特定位置处的特定时间提供人的特征向量。然后，这些特征向量自动累积和聚合，以便生成可以进行统计分析，数据挖掘和/或查询的数据集。

5. 发明授权

US11615430B1 Method and system for measuring in-store location effectiveness based on shopper response and behavior analysis 有权
公开(公告)号：US11615430B1
公开(公告)日：2023-03-28
申请号：US13999280
申请日：2014-02-05
申请人： Rajeev Sharma , Joonhwa Shin , Namsoon Jung
发明人： Rajeev Sharma , Joonhwa Shin , Namsoon Jung
IPC分类号： G06Q30/02 , G06Q30/0201
摘要： The method and system evaluates the effectiveness of a display location within a store based on a behavioral response analysis of shoppers in the vicinity. The effectiveness of a display location is measured by tracking shoppers in-store, extracting and processing shopper attributes, and extracting metrics based on the processed attributes. The metrics of one location is compared to the metrics of another location to determine overall effectiveness.

6. 发明授权

US11004093B1 Method and system for detecting shopping groups based on trajectory dynamics 有权
公开(公告)号：US11004093B1
公开(公告)日：2021-05-11
申请号：US12459281
申请日：2009-06-29
申请人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
发明人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
IPC分类号： G06Q30/02 , G06K9/00 , G06T7/292 , G06T7/277
摘要： The present invention is a method and system for detecting shopping groups based on the dynamic relation between shoppers' trajectories. First, shopper trajectories are generated using video images or positioning devices. Then, group behavior features are extracted from a candidate shopping group trajectory pair. The group behavior features of a given pair of trajectories are typically the changes in positional differences and the average speed of these trajectories. From a model of shopping group behavior, a given pair of candidate shopping group trajectories is analyzed to determine the group score—the likelihood of the pair of shoppers indeed belonging to the same group. Lastly, the system utilizes graph segmentation framework to find clusters where trajectories belonging to each cluster have tight group scores with each other.

7. 发明授权

US08325982B1 Method and system for detecting and tracking shopping carts from videos 有权
标题翻译：用于从视频中检索和跟踪购物车的方法和系统
公开(公告)号：US08325982B1
公开(公告)日：2012-12-04
申请号：US12460818
申请日：2009-07-23
申请人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
发明人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
IPC分类号： G06K9/00 , H04N5/225
CPC分类号： G06K9/3233 , G06K9/00771 , G06T7/215
摘要： The present invention is a method and system for detecting and tracking shopping carts from video images in a retail environment. First, motion blobs are detected and tracked from the video frames. Then these motion blobs are examined to determine whether or not some of them contain carts, based on the presence or absence of linear edge motion. Linear edges are detected within consecutive video frames, and their estimated motions vote for the presence of a cart. The motion blobs receiving enough votes are classified as cart candidate blobs. A more elaborate model of passive motions within blobs containing a cart is constructed. The detected cart candidate blob is then analyzed based on the constructed passive object motion model to verify whether or not the blob indeed shows the characteristic passive motion of a person pushing a cart. Then the finally-detected carts are corresponded across the video frames to generate cart tracks.
摘要翻译：本发明是一种用于在零售环境中从视频图像检测和跟踪购物车的方法和系统。首先，从视频帧中检测和跟踪运动斑点。然后根据是否存在线性边缘运动来检查这些运动斑点以确定它们中的一些是否包含推车。线性边缘在连续的视频帧内被检测到，并且它们的估计的动作投票给购物车的存在。获得足够投票的动作斑点被分类为购物车候选点。构建了一个更加精细的被动运动模型，其中包含一个推车的斑点内。然后基于所构造的被动对象运动模型来分析检测到的购物车候选Blob，以验证该小块是否确实显示推送推车的人的特征被动运动。然后，最终检测到的车在视频帧上对应，以产生购物车轨道。

8. 发明授权

US08165386B1 Apparatus and method for measuring audience data from image stream using dynamically-configurable hardware architecture 有权
标题翻译：使用动态可配置硬件架构从图像流测量观众数据的装置和方法
公开(公告)号：US08165386B1
公开(公告)日：2012-04-24
申请号：US12583323
申请日：2009-08-18
申请人： Hankyu Moon , Kevin Maurice Irick , Vijaykrishnan Narayanan , Rajeev Sharma , Namsoon Jung
发明人： Hankyu Moon , Kevin Maurice Irick , Vijaykrishnan Narayanan , Rajeev Sharma , Namsoon Jung
IPC分类号： G06K9/62
CPC分类号： G06K9/00993 , G06K9/00973
摘要： The present invention is an embedded audience measurement platform, which is called HAM. The HAM includes hardware, apparatus, and method for measuring audience data from image stream using dynamically-configurable hardware architecture. The HAM provides an end-to-end solution for audience measurement, wherein reconfigurable computational modules are used as engines per node to power the complete solution implemented in a flexible hardware architecture. The HAM is also a complete system for broad audience measurement, which has various components built into the system. Examples of the components comprise demographics classification, gaze estimation, emotion recognition, behavior analysis, and impression measurement.
摘要翻译：本发明是一种称为HAM的嵌入式观众测量平台。 HAM包括使用动态可配置的硬件架构来测量来自图像流的观众数据的硬件，装置和方法。 HAM为观众测量提供端到端解决方案，其中可重构计算模块用作每个节点的引擎，为在灵活的硬件架构中实现的完整解决方案提供动力。 HAM也是一个完整的系统，用于广泛的受众测量，其中包含系统内置的各种组件。组件的示例包括人口统计分类，注视估计，情感识别，行为分析和印象测量。

9. 发明授权

US07921036B1 Method and system for dynamically targeting content based on automatic demographics and behavior analysis 有权
标题翻译：基于自动人口统计学和行为分析动态定位内容的方法和系统
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。

10. 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。

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