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31. 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。

32. 发明授权

US06996460B1 Method and apparatus for providing virtual touch interaction in the drive-thru 有权
标题翻译：用于在驱动器中提供虚拟触摸交互的方法和装置
公开(公告)号：US06996460B1
公开(公告)日：2006-02-07
申请号：US10679226
申请日：2003-10-02
申请人： Nils Krahnstoever , Emilio Schapira , Rajeev Sharma , Namsoon Jung
发明人： Nils Krahnstoever , Emilio Schapira , Rajeev Sharma , Namsoon Jung
IPC分类号： G06F17/00
CPC分类号： G06F3/011 , G06F3/017 , G06F3/0304
摘要： The present invention is a method and apparatus for providing an enhanced automatic drive-thru experience to the customers in a vehicle by allowing use of natural hand gestures to interact with digital content. The invention is named Virtual Touch Ordering System (VTOS). In the VTOS, the virtual touch interaction is defined to be a contact free interaction, in which a user is able to select graphical objects within the digital contents on a display system and is able to control the processes connected to the graphical objects, by natural hand gestures without touching any physical devices, such as a keyboard or a touch screen. Using the virtual touch interaction of the VTOS, the user is able to complete transactions or ordering, without leaving the car and without any physical contact with the display. A plurality of Computer Vision algorithms in the VTOS processes a plurality of input image sequences from the image-capturing system that is pointed at the customers in a vehicle and performs the virtual touch interaction by natural hand gestures. The invention can increase the throughput of drive-thru interaction and reduce the delay in wait time, labor cost, and maintenance cost.
摘要翻译：本发明是一种通过允许使用自然手势与数字内容交互来向车辆中的客户提供增强的自动驾驶经验的方法和装置。本发明被命名为虚拟触摸订购系统（VTOS）。在VTOS中，虚拟触摸交互被定义为无联系的交互，其中用户能够在显示系统上的数字内容中选择图形对象，并且能够通过自然来控制连接到图形对象的过程无需触摸任何物理设备（如键盘或触摸屏）的手势。使用VTOS的虚拟触摸交互，用户能够完成交易或订购，而不用离开汽车，并且与显示器没有任何物理接触。 VTOS中的多个计算机视觉算法处理来自图像捕获系统的指向车辆中的客户的多个输入图像序列，并通过自然的手势执行虚拟触摸交互。本发明可以增加驱动通过交互的吞吐量，并减少等待时间，人工成本和维护成本的延迟。

33. 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.

34. 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。

35. 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。

36. 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。

37. 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。

38. 发明授权

US07904477B2 Object verification enabled network (OVEN) 有权
标题翻译：启用对象验证网络（OVEN）
公开(公告)号：US07904477B2
公开(公告)日：2011-03-08
申请号：US11999649
申请日：2007-12-06
申请人： Namsoon Jung , Rajeev Sharma
发明人： Namsoon Jung , Rajeev Sharma
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F8/38 , G06F8/24
摘要： The present invention is a method and system for handling a plurality of information units in an information processing system, such as a multimodal human computer interaction (HCI) system, through verification process for the plurality of information units. The present invention converts each information unit in the plurality of information units into verified object by augmenting the first meaning in the information unit with a second meaning and expresses the verified objects by object representation for each verified object. The present invention utilizes a processing structure, called polymorphic operator, which is capable of applying a plurality of relationships among the verified objects based on a set of predefined rules in a particular application domain for governing the operation among the verified objects. The present invention is named Object Verification Enabled Network (OVEN). The OVEN provides a computational framework for the information processing system that needs to handle complex data and event in the system, such as handling a huge amount of data in a database, correlating information pieces from multiple sources, applying contextual information to the recognition of inputs in a specific domain, processing fusion of the multiple inputs from different modalities, handling unforeseen challenges in deploying a commercially working information processing system in a real-world environment, and handling collaboration among multiple users.
摘要翻译：本发明是通过多个信息单元的验证处理来处理诸如多模式人机交互（HCI）系统的信息处理系统中的多个信息单元的方法和系统。本发明通过用第二含义增加信息单元中的第一含义将多个信息单元中的每个信息单元转换为经验证的对象，并通过每个已验证对象的对象表示来表示所验证的对象。本发明利用称为多态运算符的处理结构，其能够基于特定应用领域中的一组预定义规则来应用经验证的对象之间的多个关系，以管理已验证对象之间的操作。本发明被命名为对象验证启用网络（OVEN）。 OVEN为需要处理系统中复杂数据和事件的信息处理系统提供计算框架，例如处理数据库中的大量数据，将来自多个源的信息相关，将上下文信息应用于输入的识别在特定领域中，处理来自不同模式的多个输入的融合，处理在现实环境中部署商业工作信息处理系统中的不可预见的挑战，以及处理多个用户之间的协作。

39. 发明授权

US07053915B1 Method and system for enhancing virtual stage experience 有权
标题翻译：增强虚拟舞台体验的方法和系统
公开(公告)号：US07053915B1
公开(公告)日：2006-05-30
申请号：US10621181
申请日：2003-07-16
申请人： Namsoon Jung , Rajeev Sharma
发明人： Namsoon Jung , Rajeev Sharma
IPC分类号： G09G5/00 , G09B5/00
CPC分类号： G10H1/368
摘要： The present invention is a system and method for increasing the value of the audio-visual entertainment systems, such as karaoke, by simulating a virtual stage environment and enhancing the user's facial image in a continuous video input, automatically, dynamically and in real-time. The present invention is named Enhanced Virtual Karaoke (EVIKA). The EVIKA system consists of two major modules, the facial image enhancement module and the virtual stage simulation module. The facial image enhancement module augments the user's image using the embedded Facial Enhancement Technology (F.E.T.) in real-time. The virtual stage simulation module constructs a virtual stage in the display by augmenting the environmental image. The EVIKA puts the user's enhanced body image into the dynamic background, which changes according to the user's arbitrary motion. During the entire process, the user can interact with the system and select and interact with the virtual objects on the screen. The capability of real-time execution of the EVIKA system even with complex backgrounds enables the user to experience a whole new live virtual entertainment environment experience, which was not possible before.
摘要翻译：本发明是通过模拟虚拟舞台环境并在连续视频输入中自动，动态地和实时地增强用户的面部图像来增加诸如卡拉OK的视听娱乐系统的价值的系统和方法。本发明被称为增强虚拟卡拉OK（EVIKA）。 EVIKA系统由两个主要模块，面部图像增强模块和虚拟舞台仿真模块组成。面部图像增强模块使用嵌入式面部增强技术（F.E.T.）实时增强用户的图像。虚拟舞台仿真模块通过增加环境图像在显示器中构建虚拟舞台。 EVIKA将用户的增强身体图像放入动态背景中，根据用户的任意动作进行改变。在整个过程中，用户可以与系统进行交互，并选择并与屏幕上的虚拟对象进行交互。 EVIKA系统即使采用复杂的背景实时执行功能，也可以让用户体验全新的虚拟娱乐环境体验，这是以前无法实现的。

40. 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.

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