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    • 2. 发明授权
    • Method and system for analyzing shopping behavior in a store by associating RFID data with video-based behavior and segmentation data
    • 通过将RFID数据与基于视频的行为和分段数据相关联来分析商店中的购物行为的方法和系统
    • US08380558B1
    • 2013-02-19
    • US11999717
    • 2007-12-06
    • Rajeev SharmaSatish MummareddyJeff HersheyNamsoon Jung
    • Rajeev SharmaSatish MummareddyJeff HersheyNamsoon Jung
    • G06Q10/00H04N5/225
    • G06Q30/02
    • The present invention is a method and system for analyzing shopping behavior by associating RFID data, such as tracking data by the RFID tag identifications, with video-based behavior and segmentation data, such as behavior analysis and demographic composition analysis of the customers, utilizing a plurality of means for sensing and using RFID tags, a plurality of means for capturing images, and a plurality of computer vision technologies. In the present invention, the association can further comprise the association of the RFID with the transaction data or any time-based measurement in the retail space. The analyzed shopping behavior in the present invention helps people to better understand business elements in a retail space. It is one of the objectives of the present invention to provide an automatic video-based segmentation of customers in the association with the RFID based tracking of the customers, based on a novel usage of a plurality of means for capturing images and a plurality of computer vision technologies on the captured visual information of the people in the retail space. 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 retail space.
    • 本发明是一种用于通过将RFID数据(例如通过RFID标签标识跟踪数据)与基于视频的行为和分段数据(诸如客户的行为分析和人口统计分析)相关联来分析购物行为的方法和系统,利用 用于感测和使用RFID标签的多个装置,用于捕获图像的多个装置以及多个计算机视觉技术。 在本发明中,关联可以进一步包括RFID与交易数据或零售空间中的任何基于时间的测量的关联。 在本发明中分析的购物行为帮助人们更好地了解零售空间中的商业元素。 基于用于捕获图像的多个装置的新颖用途和多个计算机,本发明的目标之一是提供与客户的基于RFID的跟踪相关联的客户的基于视频的自动分割 视觉技术在零售空间中捕获的视觉信息。 多个计算机视觉技术可以包括面部检测,人物跟踪,身体部位检测和人群的人口统计分类,在零售空间中捕获的人的视觉信息。
    • 3. 发明授权
    • Method and system for robust human ethnicity recognition using image feature-based probabilistic graphical models
    • 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
    • US08379937B1
    • 2013-02-19
    • US12286233
    • 2008-09-29
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • G06K9/00G06K9/62
    • G06K9/00281G06K9/4609
    • 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.
    • 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. 发明授权
    • Method and system for segmenting people in a physical space based on automatic behavior analysis
    • 基于自动行为分析在物理空间中分割人的方法和系统
    • US08295597B1
    • 2012-10-23
    • US12075089
    • 2008-03-07
    • Rajeev SharmaSatish MummareddyJeff HersheyNamsoon Jung
    • Rajeev SharmaSatish MummareddyJeff HersheyNamsoon Jung
    • G06K9/00G06K9/62G06K9/34
    • G06K9/00342G06K9/00718G06K9/00771G06K2209/27G06T7/20G06T2207/30196G06T2207/30232G06T2207/30241
    • The present invention is a method and system for segmenting a plurality of persons in a physical space based on automatic behavior analysis of the persons in a preferred embodiment. The behavior analysis can comprise a path analysis as one of the characterization methods. The present invention applies segmentation criteria to the output of the video-based behavior analysis and assigns segmentation label to each of the persons during a predefined window of time. In addition to the behavioral characteristics, the present invention can also utilize other types of visual characterization, such as demographic analysis, or additional input sources, such as sales data, to segment the plurality of persons in another exemplary embodiment. The present invention captures a plurality of input images of the persons 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, such as shopping behavior, of the persons for the segmentation purpose. 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.
    • 本发明是一种在优选实施例中基于人的自动行为分析在物理空间中分割多个人的方法和系统。 行为分析可以包括作为表征方法之一的路径分析。 本发明将分段标准应用于基于视频的行为分析的输出,并且在预定义的时间窗口内为每个人分配分割标签。 除了行为特征之外,本发明还可以利用其他类型的视觉表征,诸如人口统计学分析,或其他输入来源,例如销售数据,以在另一示例性实施例中分割多个人。 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,以便了解用于分割目的的人的行为特征,诸如购物行为。 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。
    • 5. 发明授权
    • Method and system for analyzing shopping behavior using multiple sensor tracking
    • 使用多传感器跟踪分析购物行为的方法和系统
    • US08009863B1
    • 2011-08-30
    • US12215877
    • 2008-06-30
    • Rajeev SharmaSatish MummareddyNamsoon Jung
    • Rajeev SharmaSatish MummareddyNamsoon Jung
    • G06K9/00
    • G06Q30/02G06K9/00335G06T7/292G06T2207/30196G06T2207/30232
    • The present invention is a method and system for automatically analyzing the behavior of a person and a plurality of persons in a physical space based on measurement of the trip of the person and the plurality of persons on input images. The present invention captures a plurality of input images of the person by a plurality of means for capturing images, such as cameras. The plurality of input images is processed in order to track the person in each field of view of the plurality of means for capturing images. The present invention measures the information for the trip of the person in the physical space based on the processed results from the plurality of tracks and analyzes the behavior of the person based on the trip information. The trip information can comprise coordinates of the person's position and temporal attributes, such as trip time and trip length, for the plurality of tracks. The physical space may be a retail space, and the person may be a customer in the retail space. The trip information can provide key measurements as a foundation for the behavior analysis of the customer along the entire shopping trip, from entrance to checkout, that deliver deeper insights about the customer behavior. The focus of the present invention is given to the automatic behavior analytics applications based upon the trip from the extracted video, where the exemplary behavior analysis comprises map generation as visualization of the behavior, quantitative category measurement, dominant path measurement, category correlation measurement, and category sequence measurement.
    • 本发明是一种方法和系统,用于基于对输入图像上的人和多人的行程的测量来自动分析物理空间中的人和多个人的行为。 本发明通过用于捕获诸如照相机的图像的多种装置捕获人的多个输入图像。 处理多个输入图像以便跟踪用于捕获图像的多个装置的每个视场中的人。 本发明基于来自多个轨道的处理结果来测量物理空间中的人的行程信息,并基于行程信息分析人的行为。 行程信息可以包括人的位置和时间属性的坐标,例如多个轨道的行程时间和行程长度。 物理空间可以是零售空间,该人可能是零售空间中的客户。 旅行信息可以提供关键测量,作为整个购物之旅的客户行为分析的基础,从入场到结帐,为客户行为提供更深入的见解。 本发明的重点是基于从所提取的视频的行程给出的自动行为分析应用,其中示例性行为分析包括作为行为的可视化的地图生成,定量类别测量,主要路径测量,类别相关性测量和 类别序列测量。
    • 6. 发明授权
    • Method and system for automatically measuring and forecasting the behavioral characterization of customers to help customize programming contents in a media network
    • 用于自动测量和预测客户行为表征的方法和系统,以帮助定制媒体网络中的节目内容
    • US07974869B1
    • 2011-07-05
    • US11901691
    • 2007-09-18
    • Rajeev SharmaSatish MummareddyJeff HersheyNamsoon Jung
    • Rajeev SharmaSatish MummareddyJeff HersheyNamsoon Jung
    • G06F17/00
    • G06Q30/0202G06Q30/02
    • The present invention is a method and system for forecasting the behavioral 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 forecasting the behavioral information of customers that appear in the vicinity of each means for playing output. The analysis of behavioral 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 behavioral information is performed in each measured node, where the node is defined as means for playing output. Extrapolation of the measurement characterizes the behavioral 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 behavioral information.
    • 本发明是一种用于预测客户的行为表征的方法和系统,用于通过自动测量,表征和预测媒体网络中的多个站点的每个站点的每个站点的输出的每个站点的输出来自定义节目内容, 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,自动执行客户行为信息的分析。 在每个测量节点中执行行为信息的测量,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行为信息。 编程内容的预测和定制是基于行为信息的表征。
    • 7. 发明申请
    • Method and System for Immersing Face Images into a Video Sequence
    • 将人脸图像浸入视频序列的方法和系统
    • US20100195913A1
    • 2010-08-05
    • US12758172
    • 2010-04-12
    • Rajeev SharmaNamsoon Jung
    • Rajeev SharmaNamsoon Jung
    • G06K9/46G11B27/10G06K15/02
    • G06K9/00744G06K9/00221G11B27/036G11B27/28
    • The present invention is a system and method for immersing facial images of people captured automatically from an image or a sequence of images into a live video playback sequence. This method allows viewers to perceive a participation in the viewed “movie” segment. A format is defined for storing the video such that this live playback of the video sequence is possible. A plurality of Computer Vision algorithms in the invention processes a plurality of input image sequences from the means for capturing images, which is pointed at the users in the vicinity of the system and performs the head detection and tracking. The interaction in the invention can be performed either in real-time or off-line depending on the embodiment of the invention in an uncontrolled background.
    • 本发明是将从图像或图像序列自动捕获的人物的面部图像浸入实况视频播放序列中的系统和方法。 这种方法允许观众感知参与所观看的“电影”片段。 定义了用于存储视频的格式,使得视频序列的实时回放成为可能。 本发明中的多个计算机视觉算法从用于捕获图像的装置处理多个输入图像序列,该装置指向系统附近的用户并执行头部检测和跟踪。 根据本发明的实施例,在不受控制的背景下,本发明中的交互可以实时地或离线执行。
    • 10. 发明授权
    • Method and apparatus for providing virtual touch interaction in the drive-thru
    • 用于在驱动器中提供虚拟触摸交互的方法和装置
    • US06996460B1
    • 2006-02-07
    • US10679226
    • 2003-10-02
    • Nils KrahnstoeverEmilio SchapiraRajeev SharmaNamsoon Jung
    • Nils KrahnstoeverEmilio SchapiraRajeev SharmaNamsoon Jung
    • G06F17/00
    • G06F3/011G06F3/017G06F3/0304
    • 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.
    • 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。