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    • 72. 发明授权
    • Method and system for in-store shopper behavior analysis with multi-modal sensor fusion
    • US10217120B1
    • 2019-02-26
    • US14692446
    • 2015-04-21
    • Joonhwa ShinRajeev Sharma
    • Joonhwa ShinRajeev Sharma
    • G06Q30/02G06Q10/06H04N5/232H04N5/247H04N7/18H04W4/02H04W64/00
    • The present invention provides a comprehensive method for automatically and unobtrusively analyzing the in-store behavior of people visiting a physical space using a multi-modal fusion based on multiple types of sensors. The types of sensors employed may include cameras for capturing a plurality of images and mobile signal sensors for capturing a plurality of Wi-Fi signals. The present invention integrates the plurality of input sensor measurements to reliably and persistently track the people's physical attributes and detect the people's interactions with retail elements. The physical and contextual attributes collected from the processed shopper tracks includes the motion dynamics changes triggered by an implicit and explicit interaction to a retail element, comprising the behavior information for the trip of the people. The present invention integrates point-of-sale transaction data with the shopper behavior by finding and associating the transaction data that corresponds to a shopper trajectory and fusing them to generate a complete an intermediate representation of a shopper trip data, called a TripVector. The shopper behavior analyses are carried out based on the extracted TripVector. The analyzed behavior information for the shopper trips yields exemplary behavior analysis comprising map generation as visualization of the behavior, quantitative shopper metric derivation in multiple scales (e.g., store-wide and category-level) including path-to-purchase shopper metrics (e.g., traffic distribution, shopping action distribution, buying action distribution, conversion funnel), category dynamics (e.g., dominant path, category correlation, category sequence). The present invention includes a set of derived methods for different sensor configurations.
    • 74. 发明授权
    • Method and system for characterizing physical retail spaces by determining the demographic composition of people in the physical retail spaces utilizing video image analysis
    • 通过使用视频图像分析确定物理零售空间人员的人口构成,来描绘物理零售空间的方法和系统
    • US07987111B1
    • 2011-07-26
    • US11978021
    • 2007-10-26
    • Rajeev SharmaSatish MummareddyJeff HersheyHankyu Moon
    • Rajeev SharmaSatish MummareddyJeff HersheyHankyu Moon
    • G06Q10/00
    • G06Q30/02A61B2503/20G06Q30/0201
    • The present invention is a method and system for characterizing physical space based on automatic demographics measurement, using a plurality of means for capturing images and a plurality of computer vision technologies. The present invention is called demographic-based retail space characterization (DBR). Although the disclosed method is described in the context of retail space, the present invention can be applied to any physical space that has a restricted boundary. In the present invention, the physical space characterization can comprise various types of characterization depending on the objective of the physical space, and it is one of the objectives of the present invention to provide the automatic demographic composition measurement to facilitate the physical space characterization. The demographic classification and composition measurement of people in the physical space is performed automatically 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 physical 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 physical space.
    • 本发明是一种用于基于自动人口统计测量来表征物理空间的方法和系统,使用多个用于捕获图像的装置和多个计算机视觉技术。 本发明被称为基于人口统计的零售空间表征(DBR)。 虽然在零售空间的上下文中描述了所公开的方法,但是本发明可以应用于具有有限边界的任何物理空间。 在本发明中,物理空间表征可以包括取决于物理空间的目标的各种类型的表征,并且本发明的目的之一是提供自动人口统计量测量以促进物理空间表征。 基于对物理空间中人的捕获的视觉信息的多个用于捕获图像和多个计算机视觉技术的新颖的使用,自动执行物理空间中的人的人口统计分类和构图测量。 多个计算机视觉技术可以包括人物的人脸检测,人物跟踪,身体部位检测和人口统计学分类,以及物理空间中所捕获的视觉信息。
    • 75. 发明授权
    • Method and system for event detection by analysis of linear feature occlusion
    • 通过分析线性特征遮挡事件检测的方法和系统
    • US07590261B1
    • 2009-09-15
    • US10912450
    • 2004-07-30
    • Vladimir Y. MarianoRajeev Sharma
    • Vladimir Y. MarianoRajeev Sharma
    • G06K9/00
    • G06K9/00785G06K9/6878
    • The invention is a method for detecting events in an imaged scene by analyzing the occlusion of linear features in the background image. Linear features, curved or straight, in specific scene locations are either manually specified or automatically learned from an image or image sequence of the background scene. For each linear feature, an occlusion model determines whether the line or part of it is occluded. The locations of the lines of interest in the scene, together with their occlusion characterizations, collectively form a description of the scene for a particular image. An event, defined as a series of descriptions of the scene over an image sequence, can then be initially defined and subsequently detected automatically by the system. An example application of this is counting cars or people passing in front of a video camera.
    • 本发明是通过分析背景图像中的线性特征的遮挡来检测成像场景中的事件的方法。 在特定场景位置的线性特征,弯曲或直线,可以从背景场景的图像或图像序列手动指定或自动学习。 对于每个线性特征,遮挡模型确定线或其一部分是否被遮挡。 感兴趣的场景的位置以及它们的遮挡特性一起形成特定图像的场景的描述。 然后可以首先定义事件,定义为一系列对图像序列的场景的描述,然后由系统自动检测。 这方面的一个例子是计算在摄像机前面通过的汽车或人。
    • 79. 发明授权
    • Connecting block
    • 连接块
    • US08833803B2
    • 2014-09-16
    • US13076752
    • 2011-03-31
    • Rajeev Sharma
    • Rajeev Sharma
    • F16L13/08F16L39/00F16L41/08F16L58/18
    • F16L39/00F16L41/086F16L58/188
    • A connecting block includes a first member having a flow header extending from a sealing surface, a planar end face oppositely directed with respect to the sealing surface, and a perimeter wall angularly oriented with respect to the sealing surface. A second member is slidably received within the perimeter wall of the first member and has a flow member receiving bore axially aligned with the flow header. A bonding zone is created by heating both the first and second members until the planar end face and the planar interior face join together to create a physical connection between the first and second members. A material of the second member is corrosively sacrificial with respect to a material of the first member.
    • 连接块包括具有从密封表面延伸的流动集管的第一构件,相对于密封表面相对定向的平面端面和相对于密封表面成角度定向的周边壁。 第二构件可滑动地容纳在第一构件的周边壁内,并且具有流动构件,其接收与流动集管轴向对齐的孔。 通过加热第一和第二构件直到平面端面和平面内表面连接在一起以在第一和第二构件之间形成物理连接来产生粘结区。 第二构件的材料相对于第一构件的材料是腐蚀性牺牲的。
    • 80. 发明授权
    • Method and system for automatically measuring and forecasting the demographic characterization of customers to help customize programming contents in a media network
    • 用于自动测量和预测客户人口特征的方法和系统,以帮助定制媒体网络中的节目内容
    • US08706544B1
    • 2014-04-22
    • US11805321
    • 2007-05-23
    • Rajeev SharmaSatish MummareddyJeff HersheyHankyu Moon
    • Rajeev SharmaSatish MummareddyJeff HersheyHankyu Moon
    • G06Q10/00
    • G06Q30/0202G06Q30/0201
    • The present invention is a method and system for forecasting the demographic 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 estimating the demographic information of customers that appear in the vicinity of each means for playing output. The analysis of demographic 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 demographic information is performed in each measured node, where the node is defined as means for playing output. Extrapolation of the measurement characterizes the demographic 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 demographic information.
    • 本发明是一种用于预测客户的人口统计特征的方法和系统,用于通过自动测量,表征和估计媒体网络中的人口统计信息的每个位置来播放媒体网络中的多个站点的每个站点的输出,从而自定义节目内容 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,自动进行客户人口统计信息的分析。 在每个测量节点中执行人口统计信息的测量,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人口统计信息。 编程内容的预测和定制是基于人口统计信息的表征。