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31. 发明授权

US07319779B1 Classification of humans into multiple age categories from digital images 有权
标题翻译：人类从数字图像分类成多个年龄类别
公开(公告)号：US07319779B1
公开(公告)日：2008-01-15
申请号：US11004299
申请日：2004-12-03
申请人： Satish Mummareddy , Rajeev Sharma
发明人： Satish Mummareddy , Rajeev Sharma
IPC分类号： G06K9/00
CPC分类号： G06K9/00288 , G06K9/6282 , G06K2009/00322
摘要： The present invention includes a method and system for automatically extracting the multi-class age category information of a person from digital images. The system detects the face of the person(s) in an image, extracts features from the face(s), and then classifies into one of the multiple age categories. Using appearance information from the entire face gives better results as compared to currently known techniques. Moreover, the described technique can be used to extract age category information in more robust manner than currently known methods, in environments with a high degree of variability in illumination, pose and presence of occlusion. Besides use as an automated data collection system wherein given the necessary facial information as the data, the age category of the person is determined automatically, the method could also be used for targeting certain age-groups in advertisements, surveillance, human computer interaction, security enhancements and immersive computer games.
摘要翻译：本发明包括一种用于从数字图像中自动提取人的多类别年龄类别信息的方法和系统。系统检测图像中人物的脸部，从脸部提取特征，然后分类为多个年龄类别中的一个。与现有技术相比，使用整个脸部的外观信息可以获得更好的效果。此外，在照明，姿势和存在闭塞的高度变异性的环境中，所描述的技术可以用于以比目前已知的方法更鲁棒的方式提取年龄类别信息。除了作为自动数据收集系统使用，其中给定必要的面部信息作为数据，人的年龄类别被自动确定，该方法还可以用于针对广告，监视，人机交互，安全性中的某些年龄组增强和沉浸式电脑游戏。

32. 发明申请

US20070205402A1 Flame retardant and glow resistant zinc free cellulose product 有权
标题翻译：阻燃和耐光泽的无锌纤维素产品
公开(公告)号：US20070205402A1
公开(公告)日：2007-09-06
申请号：US11410498
申请日：2006-04-25
申请人： Aditya Shrivastava , Brij Koutu , Rajeev Sharma , Daya Chaurasia
发明人： Aditya Shrivastava , Brij Koutu , Rajeev Sharma , Daya Chaurasia
IPC分类号： C09K21/00
CPC分类号： C09K21/14
摘要： A flame retardant and glow resistant zinc free cellulose product containing silica, modified with polyaluminium ions. In the preparation of product the cellulose solution (viscose) and sodium silicate are blended and regenerated to obtain a polymeric silica in the cellulose structure which is further modified with polyaluminium ions to attach aluminium sites on silica molecules to make the product glow resistant and impart wash fastness as well.
摘要翻译：含有二氧化硅的阻燃和耐光泽的无锌纤维素产品，用聚铝离子改性。在产品的制备中，将纤维素溶液（粘胶）和硅酸钠混合并再生，以获得纤维素结构中的聚合二氧化硅，其进一步用聚铝离子改性以将二氧化硅分子上的铝位点附着，以使产品发光并赋予洗涤坚牢也好。

33. 发明授权

US11151584B1 Method and system for collecting shopper response data tied to marketing and merchandising elements 有权
公开(公告)号：US11151584B1
公开(公告)日：2021-10-19
申请号：US12220076
申请日：2008-07-21
申请人： Rajeev Sharma , Varij Saurabh , Priya Baboo , Namsoon Jung
发明人： Rajeev Sharma , Varij Saurabh , Priya Baboo , Namsoon Jung
IPC分类号： G06Q30/02 , G06K9/00 , G06Q30/06
摘要： The present invention is a method and system for capturing a dataset over time that represents the response of shoppers to a set of marketing and merchandising stimuli or “elements”. The response includes exposure metrics, engagement metrics and conversion metrics for different shopper segments. The shopper segments may be defined by demographics such as gender, age and ethnicity or by the type of trip, such as a quick trip or a fill-up trip. The system comprises a plurality of means for capturing images, such as cameras, covering the area of interest in the vicinity of the marketing or merchandising element. The method comprises automated and semi-automated analysis of the video to extract the shopper behavior and demographics data for computing the defined metrics. The captured data can be further combined with information such a promotions and advertisement outside the store to further enhance the applications of the data collected in-store from the invention. The captured shopper data can be used for many applications such as comparison of the effectiveness of different marketing elements or the relative effectiveness of different types of promotions, variation of the relative effectiveness of different marketing elements over time or differences between the relative effectiveness of a marketing element for different demographic segments.

34. 发明授权

US10713670B1 Method and system for finding correspondence between point-of-sale data and customer behavior data 有权
公开(公告)号：US10713670B1
公开(公告)日：2020-07-14
申请号：US14986386
申请日：2015-12-31
申请人： Hankyu Moon , Rajeev Sharma , Satish Mummareddy
发明人： Hankyu Moon , Rajeev Sharma , Satish Mummareddy
IPC分类号： G06Q30/02 , G06Q20/20
摘要： The present invention is a method and system to provide correspondences between point-of-sale data registered at the store checkout and shopper behavior data observed at point-of-purchase through video analysis. The point-of-sale data include the list of shoppers and purchase items, and the shopper behavior data include the purchase events along with observed purchase items. The correspondence in the form of checkout shopper IDs matched to purchase event IDs is derived based on the algebraic constraint among the point-of-sale data and the purchase event data. Additional constraint based on shopper tracks and checkout/event times can also be incorporated to the correspondence problem. Uncertainties due to the video measurement can be systematically handled utilizing a Bayesian model.

35. 发明授权

US10387896B1 At-shelf brand strength tracking and decision analytics 有权
公开(公告)号：US10387896B1
公开(公告)日：2019-08-20
申请号：US15140283
申请日：2016-04-27
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 , H04N5/247 , G06K9/00
摘要： A method and system for analyzing product strength or brand strength by determining shopper decision behavior during a shopping trip. Specifically, shopper behavior can be analyzed to determine whether a shopper's decision to purchase an item occurred at-shelf or pre-shelf. Aggregating decision data across many shoppers over time can then be used to generate analytics regarding the strength of a product or brand. The analysis can then be used to make recommendations to manufacturers or retailers about how to strengthen the product or brand. 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.

36. 发明授权

US10217120B1 Method and system for in-store shopper behavior analysis with multi-modal sensor fusion 有权
公开(公告)号：US10217120B1
公开(公告)日：2019-02-26
申请号：US14692446
申请日：2015-04-21
申请人： Joonhwa Shin , Rajeev Sharma
发明人： Joonhwa Shin , Rajeev Sharma
IPC分类号： G06Q30/02 , G06Q10/06 , H04N5/232 , H04N5/247 , H04N7/18 , H04W4/02 , H04W64/00
摘要： 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.

37. 发明授权

US09785914B2 Collaborative review apparatus, systems, and methods 有权
公开(公告)号：US09785914B2
公开(公告)日：2017-10-10
申请号：US12330002
申请日：2008-12-08
申请人： Yash Kumar Gupta , Rajeev Sharma
发明人： Yash Kumar Gupta , Rajeev Sharma
IPC分类号： G06F3/048 , G06Q10/10
CPC分类号： G06Q10/103
摘要： Apparatus, systems, and methods may operate to within the context of a shared document review process to receive an updated comment associated with an original comment by a comment series identifier. Further actions may include generating a comment differentiation identifier that serves to differentiate the updated comment from the original comment, and storing at least a portion of the updated comment and the comment differentiation identifier in a collaboration comment repository. Using stored document version history and a timeline, the state of the document at a particular point in time, and a history of the comment series can be rendered as a result. Additional apparatus, systems, and methods are disclosed.

38. 发明授权

US08812344B1 Method and system for determining the impact of crowding on retail performance 有权
标题翻译：确定拥挤对零售业绩的影响的方法和系统
公开(公告)号：US08812344B1
公开(公告)日：2014-08-19
申请号：US12459283
申请日：2009-06-29
申请人： Varij Saurabh , Namsoon Jung , Rajeev Sharma
发明人： Varij Saurabh , Namsoon Jung , Rajeev Sharma
IPC分类号： G06Q10/00 , G06Q30/02
CPC分类号： G06Q30/0201 , G06K9/00778
摘要： The present invention is a system, method, and apparatus for determining the impact of crowding on retail performance based on a measurement for behavior patterns of people in a store area. The present invention captures a plurality of input images of the people by at least a means for capturing images, such as cameras, in the store area. In the captured plurality of input images, each person's shopping path is detected by a video analytics-based tracking algorithm. A subset of the people is identified as a crowd in the store area. In relation to the crowd, the behavior patterns of the target person are measured. After aggregating the measurements for the behavior patterns over a predefined window of time, the present invention can calculate a crowd index and a crowd impact index for the store area based on the measurements. A crowd index shows the level of crowd density in the store area caused by a crowd, including traffic count of the crowd in the store area. A crowd impact index comprises a traffic count of the target people who make trips to the store area and a shopping time index, such as average shopping time changes of the target people, in relation to a crowd in the measured store area.
摘要翻译：本发明是一种用于基于对商店区域中的人的行为模式的测量来确定拥挤对零售业绩的影响的系统，方法和装置。本发明通过至少一种用于在商店区域中捕获诸如照相机之类的图像的装置捕获人的多个输入图像。在所捕获的多个输入图像中，通过基于视频分析的跟踪算法来检测每个人的购物路径。人们的一小部分被确定为商店区域的人群。针对人群，衡量目标人员的行为模式。在预定时间窗口聚集了行为模式的测量之后，本发明可以基于测量来计算存储区域的人群指数和人群影响指数。人群指数显示人群造成的店面人群密度，包括店面人群的流量。人群影响指数包括与测量商店区域中的人群相关的进入商店区域的目标人群的交通计数和目标人群的平均购物时间变化等购物时间指数。

39. 发明授权

US08660895B1 Method and system for rating of out-of-home digital media network based on automatic measurement 有权
标题翻译：基于自动测量的户外数字媒体网络评级的方法和系统
公开(公告)号：US08660895B1
公开(公告)日：2014-02-25
申请号：US11818485
申请日：2007-06-14
申请人： Varij Saurabh , Jeff Hershey , Satish Mummareddy , Rajeev Sharma , Namsoon Jung
发明人： Varij Saurabh , Jeff Hershey , Satish Mummareddy , Rajeev Sharma , Namsoon Jung
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0204 , G06Q30/0242
摘要： The present invention is a method and system for producing a set of ratings for out-of-home media based on the measurement of behavior patterns and demographics of the people in a digital media network. The present invention captures a plurality of input images of the people in the vicinity of sampled out-of-home media in a digital media network by a plurality of means for capturing images, and tracks each person. The present invention processes the plurality of input images in order to analyze the behavior and demographics of the people. The present invention aggregates the measurements for the behavior patterns and demographics of the people, analyzes the data, and extracts characteristic information based on the estimated parameters from the aggregated measurements. Finally, the present invention calculates a set of ratings based on the characteristic information. 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 vicinity of the out-of-home media.
摘要翻译：本发明是一种用于根据对数字媒体网络中的人的行为模式和人口统计的测量来生产用于户外媒体的一组评级的方法和系统。本发明通过用于捕获图像的多个装置捕获数字媒体网络中的采样的室外媒体附近的人的多个输入图像，并且跟踪每个人。本发明处理多个输入图像以分析人的行为和人口统计。本发明聚合人们的行为模式和人口统计学的测量结果，分析数据，并根据来自聚合测量的估计参数提取特征信息。最后，本发明基于特征信息计算一组评级。多种计算机视觉技术可以包括人脸检测，人物跟踪，身体部位检测和人群的人口统计分类，以及在家外媒体附近的人们所获取的视觉信息。

40. 发明授权

US08520906B1 Method and system for age estimation based on relative ages of pairwise facial images of people 有权
标题翻译：基于成人面部人脸相对年龄的年龄估计方法与系统
公开(公告)号：US08520906B1
公开(公告)日：2013-08-27
申请号：US12283595
申请日：2008-09-12
申请人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
发明人： Hankyu Moon , Rajeev Sharma , Namsoon Jung
IPC分类号： G06K9/00 , G06K9/46 , G06K9/66 , G06K9/62
CPC分类号： G06K9/6292 , G06K9/6263 , G06K2009/00322
摘要： The present invention is a system and method for estimating the age of people based on their facial images. It addresses the difficulty of annotating the age of a person from facial image by utilizing relative age (such as older than, or younger than) and face-based class similarity (gender, ethnicity or appearance-based cluster) of sampled pair-wise facial images. It involves a unique method for the pair-wise face training and a learning machine (or multiple learning machines) which output the relative age along with the face-based class similarity, of the pairwise facial images. At the testing stage, the given input face image is paired with some number of reference images to be fed to the trained machines. The age of the input face is determined by comparing the estimated relative ages of the pairwise facial images to the ages of reference face images. Because age comparison is more meaningful when the pair belongs to the same demographics category (such as gender and ethnicity) or when the pair has similar appearance, the estimated relative ages are weighted according to the face-based class similarity score between the reference face and the input face.
摘要翻译：本发明是一种基于面部图像来估计人的年龄的系统和方法。它解决了通过利用抽样对面面部的相对年龄（如年龄大于或小于）和基于脸部类别（性别，种族或出现的群集）来标注个人年龄的难度图片。它涉及成对面部训练的独特方法和一种学习机器（或多个学习机器），其输出成对面部图像的面部类似度的相对年龄。在测试阶段，给定的输入面部图像与一些数量的参考图像配对，以供给训练有素的机器。通过将成对面部图像的估计相对年龄与参考面部图像的年龄进行比较来确定输入面的年龄。因为年龄比较更有意义，当该对属于相同的人口统计学类别（如性别和种族）时，或者对具有相似的外观时，估计的相对年龄会根据参考面和输入面。

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