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    • 23. 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。
    • 26. 发明授权
    • Method and system for efficient sampling of videos using spatiotemporal constraints for statistical behavior analysis
    • 使用时空约束对视频进行有效采样的方法和系统进行统计行为分析
    • US08570376B1
    • 2013-10-29
    • US12313359
    • 2008-11-19
    • Rajeev SharmaNamsoon Jung
    • Rajeev SharmaNamsoon Jung
    • H04N7/18G06K9/00
    • H04N7/18G06K9/00751G06K9/00771G06Q30/02
    • The present invention is a method and system for selecting and storing videos by applying semantically-meaningful selection criteria to the track sequences of the trips made by people in an area covered by overlapping multiple cameras. The present invention captures video streams of the people in the area by multiple cameras and tracks the people in each of the video streams, producing track sequences in each video stream. The present invention determines a first set of video segments that contains the trip information of the people, and compacts each of the video streams by removing a second set of video segments that do not contain the trip information of the people from each of the video streams. The present invention selects video segments from the first set of video segments based on predefined selection criteria for the statistical behavior analysis. The stored video data is an efficient compact format of video segments that contain the track sequences of the people and selected according to semantically-meaningful and domain-specific selection criteria. The final storage format of the videos is a trip-centered format, which sequences videos from across multiple cameras, and it can be used to facilitate multiple applications dealing with behavior analysis in a specific domain.
    • 本发明是一种通过将语义上有意义的选择标准应用于由重叠的多个照相机覆盖的区域中的人们进行的旅行的轨道序列来选择和存储视频的方法和系统。 本发明通过多个摄像机捕获该区域中的人的视频流,并且跟踪每个视频流中的人,并产生每个视频流中的轨道序列。 本发明确定包含人员的行程信息的第一组视频段,并通过从每个视频流中移除不包含人员的行程信息的第二组视频段来压缩每个视频流 。 本发明基于用于统计行为分析的预定义的选择标准从第一组视频片段中选择视频段。 存储的视频数据是包含人的轨道序列并根据语义有意义的和特定于领域的选择标准来选择的视频片段的有效的紧凑格式。 视频的最终存储格式是一种以行程为中心的格式,可以对来自多个摄像机的视频进行排序,并可用于促进处理特定域中行为分析的多个应用程序。
    • 27. 发明授权
    • Apparatus and method for hardware implementation of object recognition from an image stream using artificial neural network
    • 使用人工神经网络从图像流硬件实现对象识别的装置和方法
    • US08081816B1
    • 2011-12-20
    • US12157087
    • 2008-06-06
    • Kevin Maurice IrickVijaykrishnan NarayananHankyu MoonRajeev SharmaNamsoon Jung
    • Kevin Maurice IrickVijaykrishnan NarayananHankyu MoonRajeev SharmaNamsoon Jung
    • G06K9/62
    • G06K9/00986G06K9/00979G06N3/063
    • The present invention is an apparatus and method for object recognition from at least an image stream from at least an image frame utilizing at least an artificial neural network. The present invention further comprises means for generating multiple components of an image pyramid simultaneously from a single image stream, means for providing the active pixel and interlayer neuron data to at least a subwindow processor, means for multiplying and accumulating the product of a pixel data or interlayer data and a synapse weight, and means for performing the activation of an accumulation. The present invention allows the artificial neural networks to be reconfigurable, thus embracing a broad range of object recognition applications in a flexible way. The subwindow processor in the present invention also further comprises means for performing neuron computations for at least a neuron. An exemplary embodiment of the present invention is used for object recognition, including face detection and gender recognition, in hardware. The apparatus comprises a digital circuitry system or IC that embodies the components of the present invention.
    • 本发明是一种用于至少利用至少一个人造神经网络的至少一个图像帧的图像流进行物体识别的装置和方法。 本发明还包括用于从单个图像流同时生成图像金字塔的多个分量的装置,用于向至少一个子窗口处理器提供活动像素和层间神经元数据的装置,用于乘法和累加像素数据的乘积的装置, 层间数据和突触重量,以及用于执行累积的激活的装置。 本发明允许人造神经网络是可重构的,因此以灵活的方式包含广泛的对象识别应用。 本发明的子窗口处理器还包括用于对至少神经元进行神经元计算的装置。 本发明的一个示例性实施例用于硬件中的对象识别,包括面部检测和性别识别。 该装置包括体现本发明组件的数字电路系统或IC。
    • 28. 再颁专利
    • 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
    • USRE41449E1
    • 2010-07-20
    • US12027879
    • 2008-02-07
    • Nils KrahnstoeverEmilio SchapiraRajeev SharmaNamsoon Jung
    • Nils KrahnstoeverEmilio SchapiraRajeev SharmaNamsoon Jung
    • G06F17/00G06K9/00
    • 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。
    • 29. 发明申请
    • Method and system for media audience measurement and spatial extrapolation based on site, display, crowd, and viewership characterization
    • 基于网站,展示,人群和观众特征的媒体观众测量和空间外推的方法和系统
    • US20090158309A1
    • 2009-06-18
    • US12001611
    • 2007-12-12
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • H04H60/33
    • H04N21/44218G06K9/00778H04H60/33H04N21/4223
    • The present invention provides a comprehensive method to design an automatic media viewership measurement system, from the problem of sensor placement for an effective sampling of the viewership to the method of extrapolating spatially sampled viewership data. The system elements that affect the viewership—site, display, crowd, and audience—are identified first. The site-viewership analysis derives some of the crucial elements in determining an effective data sampling plan: visibility, occupancy, and viewership relevancy. The viewership sampling map is computed based on the visibility map, the occupancy map, and the viewership relevancy map; the viewership measurement sensors are placed so that the sensor coverage maximizes the viewership sampling map. The crowd-viewership analysis derives a model of the viewership in relation to the system parameters so that the viewership extrapolation can effectively adapt to the time-changing spatial distribution of the viewership; the step identifies crowd dynamics, and its invariant features as the crucial elements that extract the influence of the site, display, and the crowd to the temporal changes of viewership. The extrapolation map is formulated around these quantities, so that the site-wide viewership can be effectively estimated from the sampled viewership measurement.
    • 本发明提供了一种全面的方法来设计一种自动媒体观看量度系统,从传感器放置的问题出发,将收视率有效抽样的方法推广到空间采样的收视率数据外推法。 影响观众网站,展示,人群和观众的系统元素首先被识别。 站点收视率分析得出了确定有效数据抽样计划的一些关键因素:可见度,占用率和观众关联度。 基于可见度图,占用地图和观看者相关性图来计算观众抽样图; 放置观众测量传感器,使得传感器覆盖最大化观众抽样图。 人群观众分析得出与体系参数相关的观众模型,使得观众推论能够有效地适应观众的时空变化空间分布; 该步骤确定人群动态,其不变特征作为提取站点影响力,显示和人群对观看时间变化的关键要素。 外推图是围绕这些数量制定的,因此可以从采样的收视率测量中有效地估计网站范围的收视率。
    • 30. 发明申请
    • Object Verification Enabled Network (OVEN)
    • 对象验证启用网络(OVEN)
    • US20080147725A1
    • 2008-06-19
    • US11999649
    • 2007-12-06
    • Namsoon JungRajeev Sharma
    • Namsoon JungRajeev Sharma
    • G06F17/30
    • G06F8/38G06F8/24
    • 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.
    • 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。