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1. 发明授权

US08407509B2 Method for compensating for variations in data timing 有权
标题翻译：补偿数据时序变化的方法
公开(公告)号：US08407509B2
公开(公告)日：2013-03-26
申请号：US12901579
申请日：2010-10-11
申请人： Rajeev Sharma , Ajay Kumar , Naresh Dhamija , Atul Gupta , Ajay K. Gaite , Llamparidhi l
发明人： Rajeev Sharma , Ajay Kumar , Naresh Dhamija , Atul Gupta , Ajay K. Gaite , Llamparidhi l
IPC分类号： G06F1/04 , G06F13/00 , G06F13/42
CPC分类号： G06F13/1689 , G06F13/4243
摘要： A method for compensating for variations in timing of data sent to a processor on data bit lines relative to a strobe clock sent to the processor on a strobe clock line that can be used in a dual data rate (DDR) memory identifies discrete minimum and maximum time offset values for test data in selected data bit patterns for the data bit lines. The discrete minimum time offset value is the minimum timing adjustment required to allow the processor to receive the data in a steady-state condition during a data valid window of the strobe clock and the discrete maximum time offset value is a maximum timing adjustment required to allow the processor to receive the data in a steady-state condition during a data valid window of the strobe clock. The discrete minimum and maximum time offset values identify a valid range when the data bit lines supply data in a steady-state condition for latching into the processor by the strobe clock.
摘要翻译：用于补偿在数据位线上相对于在双数据速率（DDR）存储器中使用的选通时钟线上发送到处理器的选通时钟的数据位线发送的数据的时序变化的方法，该方法能够识别离散的最小和最大值用于数据位线的选定数据位模式中的测试数据的时间偏移值。离散的最小时间偏移值是在选通时钟的数据有效窗口期间允许处理器在稳态条件下接收数据所需的最小定时调整，并且离散最大时间偏移值是允许允许的最大定时调整所述处理器在所述选通时钟的数据有效窗口期间以稳态条件接收所述数据。当数据位线在稳态条件下提供数据以通过选通时钟锁存到处理器中时，离散的最小和最大时间偏移值标识有效范围。

2. 发明申请

US20120089857A1 METHOD FOR COMPENSATING FOR VARIATIONS IN DATA TIMING 有权
标题翻译：用于补偿数据时间变化的方法
公开(公告)号：US20120089857A1
公开(公告)日：2012-04-12
申请号：US12901579
申请日：2010-10-11
申请人： Rajeev Sharma , Ajay Kumar , Naresh Dhamija , Atul Gupta , Ajay K. Gaite , IIamparidhi I
发明人： Rajeev Sharma , Ajay Kumar , Naresh Dhamija , Atul Gupta , Ajay K. Gaite , IIamparidhi I
IPC分类号： G06F1/04
CPC分类号： G06F13/1689 , G06F13/4243
摘要： A method for compensating for variations in timing of data sent to a processor on data bit lines relative to a strobe clock sent to the processor on a strobe clock line that can be used in a dual data rate (DDR) memory identifies discrete minimum and maximum time offset values for test data in selected data bit patterns for the data bit lines. The discrete minimum time offset value is the minimum timing adjustment required to allow the processor to receive the data in a steady-state condition during a data valid window of the strobe clock and the discrete maximum time offset value is a maximum timing adjustment required to allow the processor to receive the data in a steady-state condition during a data valid window of the strobe clock. The discrete minimum and maximum time offset values identify a valid range when the data bit lines supply data in a steady-state condition for latching into the processor by the strobe clock.
摘要翻译：用于补偿在数据位线上相对于在双数据速率（DDR）存储器中使用的选通时钟线上发送到处理器的选通时钟的数据位线发送的数据的时序变化的方法，该方法能够识别离散的最小和最大值用于数据位线的选定数据位模式中的测试数据的时间偏移值。离散的最小时间偏移值是在选通时钟的数据有效窗口期间允许处理器在稳态条件下接收数据所需的最小定时调整，并且离散最大时间偏移值是允许允许的最大定时调整所述处理器在所述选通时钟的数据有效窗口期间以稳态条件接收所述数据。当数据位线在稳态条件下提供数据以通过选通时钟锁存到处理器中时，离散的最小和最大时间偏移值标识有效范围。

3. 发明授权

US10354262B1 Brand-switching analysis using longitudinal tracking of at-shelf shopper behavior 有权
公开(公告)号：US10354262B1
公开(公告)日：2019-07-16
申请号：US15171873
申请日：2016-06-02
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 , H04L29/08
摘要： A method and system for analyzing shopper switching behavior over multiple shopping trips. Specifically, shopper behavior can be analyzed to generate a shopper behavior profile. Aggregating profile data across many shopping trips over time can then be used to generate analytics regarding the shopper's behavior regarding switching between products or brands and whether the shopper's purchase decisions occurred at-shelf or pre-shelf. Further, the data can be aggregated across many shoppers The analysis can then be used to make recommendations to manufacturers or retailers about how to influence shoppers to switch to a brand from a competitor, or to prevent a shopper from switching to a competitor. 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.

4. 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.

5. 发明申请

US20130125200A1 Method of securing data in 2D bar codes using SSL 有权
标题翻译：使用SSL保护2D条形码数据的方法
公开(公告)号：US20130125200A1
公开(公告)日：2013-05-16
申请号：US13294548
申请日：2011-11-11
申请人： Rajeev Sharma
发明人： Rajeev Sharma
IPC分类号： H04L9/32 , G06F21/00
CPC分类号： G06F21/36 , G06F21/64 , H04L9/3226 , H04L63/0823 , H04L63/123
摘要： Methods and apparatus authenticate a printed document associated with a source entity. The printed document includes a two-dimensional code (2-D code) that includes data encoded therein. The encoded data includes a resource locator to an intent. An image of the 2-D code is decoded to obtain the resource locator to an intent, and it is detected whether the resource locator to an intent includes a protocol identifier designating a secure 2-D code. If so, the protocol identifier is replaced with a protocol identifier used to access a secure server of the source entity located at a host portion of the resource locator. The secure server is accessed to obtain the intent. A certificate of the secure server is accessed and an electronic device displays an indicator of whether the certificate is valid and also displays the intent. The indicator may be used to decide whether the intent can be trusted.
摘要翻译：方法和设备认证与源实体相关联的打印文档。打印文档包括包含其中编码的数据的二维码（2-D码）。编码数据包括一个意图的资源定位符。解码2-D码的图像以获得资源定位符的意图，并且检测资源定位符是否包含指定安全2-D码的协议标识符。如果是，协议标识符被替换为用于访问位于资源定位符的主机部分的源实体的安全服务器的协议标识符。访问安全服务器以获取意图。访问安全服务器的证书，电子设备显示证书是否有效的指示符，并显示意图。该指标可用于决定意图是否可信。

6. 发明授权

US08380558B1 Method and system for analyzing shopping behavior in a store by associating RFID data with video-based behavior and segmentation data 有权
标题翻译：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
公开(公告)号：US08380558B1
公开(公告)日：2013-02-19
申请号：US11999717
申请日：2007-12-06
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： G06Q10/00 , H04N5/225
CPC分类号： G06Q30/02
摘要： 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.
摘要翻译：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。

7. 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。

8. 发明授权

US08295597B1 Method and system for segmenting people in a physical space based on automatic behavior analysis 有权
标题翻译：基于自动行为分析在物理空间中分割人的方法和系统
公开(公告)号：US08295597B1
公开(公告)日：2012-10-23
申请号：US12075089
申请日：2008-03-07
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 , G06K9/62 , G06K9/34
CPC分类号： G06K9/00342 , G06K9/00718 , G06K9/00771 , G06K2209/27 , G06T7/20 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241
摘要： 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.
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。

9. 发明申请

US20120248760A1 CONNECTING BLOCK 有权
标题翻译：连接块
公开(公告)号：US20120248760A1
公开(公告)日：2012-10-04
申请号：US13076752
申请日：2011-03-31
申请人： Rajeev Sharma
发明人： Rajeev Sharma
IPC分类号： F16L27/00
CPC分类号： F16L39/00 , F16L41/086 , F16L58/188
摘要： 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.
摘要翻译：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。

10. 发明授权

US08009863B1 Method and system for analyzing shopping behavior using multiple sensor tracking 有权
标题翻译：使用多传感器跟踪分析购物行为的方法和系统
公开(公告)号：US08009863B1
公开(公告)日：2011-08-30
申请号：US12215877
申请日：2008-06-30
申请人： Rajeev Sharma , Satish Mummareddy , Namsoon Jung
发明人： Rajeev Sharma , Satish Mummareddy , Namsoon Jung
IPC分类号： G06K9/00
CPC分类号： G06Q30/02 , G06K9/00335 , G06T7/292 , G06T2207/30196 , G06T2207/30232
摘要： 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.
摘要翻译：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。

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