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    • 31. 发明授权
    • Method and system for estimating gaze target, gaze sequence, and gaze map from video
    • 用于从视频估计注视目标,注视序列和凝视图的方法和系统
    • US07742623B1
    • 2010-06-22
    • US12221552
    • 2008-08-04
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • G06K9/00
    • G06K9/00604G06K9/00228
    • The present invention is a method and system to estimate the visual target that people are looking, based on automatic image measurements. The system utilizes image measurements from both face-view cameras and top-down view cameras. The cameras are calibrated with respect to the site and the visual target, so that the gaze target is determined from the estimated position and gaze direction of a person. Face detection and two-dimensional pose estimation locate and normalize the face of the person so that the eyes can be accurately localized and the three-dimensional facial pose can be estimated. The eye gaze is estimated based on either the positions of localized eyes and irises or on the eye image itself, depending on the quality of the image. The gaze direction is estimated from the eye gaze measurement in the context of the three-dimensional facial pose. From the top-down view the body of the person is detected and tracked, so that the position of the head is estimated using a body blob model that depends on the body position in the view. The gaze target is determined based on the estimated gaze direction, estimated head pose, and the camera calibration. The gaze target estimation can provide a gaze trajectory of the person or a collective gaze map from many instances of gaze.
    • 本发明是基于自动图像测量来估计人们正在寻找的视觉目标的方法和系统。 该系统利用来自面视摄像机和自顶向下摄像机的图像测量。 摄像机相对于场地和视觉目标进行校准,从而根据人的估计位置和视线方向确定目标目标。 面部检测和二维姿态估计定位和归一化人脸,使眼睛能够被精确定位,并且可以估计三维面部姿势。 根据图像的质量,基于局部眼睛和虹膜的位置或眼睛图像本身来估计眼睛注视。 在三维面部姿势的背景下,从眼睛注视测量估计视线方向。 从自上而下的视角,人体的身体被检测和跟踪,以便使用取决于视图中的身体位置的身体斑点模型来估计头部的位置。 目标目标是根据估计的注视方向,估计头部姿态和相机校准来确定的。 注视目标估计可以从许多注视情况提供人的凝视轨迹或集体凝视图。
    • 32. 发明申请
    • Method and system for measuring human response to visual stimulus based on changes in facial expression
    • 基于面部表情变化测量人类视觉刺激反应的方法和系统
    • US20090285456A1
    • 2009-11-19
    • US12154002
    • 2008-05-19
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • Hankyu MoonRajeev SharmaNamsoon Jung
    • G06K9/00
    • G06K9/00335G06K9/00315
    • 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.
    • 本发明是一种用于根据人的面部表情测量人类对视觉刺激的情感反应的方法和系统。 给人一个被检测和跟踪的人脸,它被精确定位,使得脸部特征被正确识别和定位。 脸部和面部特征使用几何专业的学习机器进行本地化。 然后提取情感敏感的特征,如面部特征或面部皱纹的形状。 使用受情绪敏感特征训练的学习机来估计面部肌肉动作。 使用面部肌肉动作和情感状态(觉醒,价态和姿态)之间的关系将即时面部肌肉动作投射到影响空间的一个点。 估计情绪变化的一系列呈现出影响空间的轨迹,进一步根据视觉刺激的时间变化进行分析,以确定反应。
    • 33. 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。
    • 35. 发明授权
    • Method and system for virtual touch entertainment
    • 虚拟触摸娱乐的方法和系统
    • US07225414B1
    • 2007-05-29
    • US10634962
    • 2003-08-05
    • Rajeev SharmaEmilio SchapiraNamsoon Jung
    • Rajeev SharmaEmilio SchapiraNamsoon Jung
    • G06F3/00G06F9/00
    • G06F3/017G06F3/012
    • The present invention is a method and apparatus for attracting the attention of people in public places and engaging them in a touch-free interaction with a multimedia display using an image-capturing system and a set of Computer Vision algorithms as a means of informing the public as well as collecting data about/from the users. The invention is named, Virtual Touch Entertainment (VTE) Platform. The VTE Platform comprises of a series of interaction states, such as the Wait State, the Attraction State, the User Engagement State, the User Interaction State, and the Interaction Termination State. The modules in these interaction states handle complicated tasks assigned to them, such as attracting the users, training the users, providing the multimedia digital content to the users, and collecting the user data and statistics, in an efficient and intelligent manner. The user is able to experience a whole new way of interaction paradigm while getting information and entertainment through the rich digital multimedia. The system operates automatically and dynamically in real-time throughout the whole interaction process.
    • 本发明是一种用于吸引公共场所的人的注意力的方法和装置,并且使用图像捕获系统和一组计算机视觉算法作为通知公众的手段使其与多媒体显示器的无触摸的交互 以及从用户那里收集数据。 该发明被命名为虚拟触摸娱乐(VTE)平台。 VTE平台包括一系列交互状态,例如等待状态,吸引状态,用户参与状态,用户交互状态和交互终止状态。 这些交互状态中的模块处理分配给他们的复杂任务,例如吸引用户,训练用户,向用户提供多媒体数字内容,并以高效智能的方式收集用户数据和统计信息。 用户能够通过丰富的数字多媒体获得信息和娱乐,体验全新的互动模式。 系统在整个交互过程中实时自动动态地运行。
    • 36. 发明授权
    • Personalized decision tree based on in-store behavior analysis
    • US10963893B1
    • 2021-03-30
    • US15051629
    • 2016-02-23
    • Rajeev Sharma
    • Rajeev Sharma
    • G06Q30/00G06Q30/02G06K9/00
    • A method and system for determining the hierarchical purchase decision process of a shopper in front of a product category in a retail store. Shopping consideration and the decision path the shopper can be obtained by combining behavior data with the category layout and transaction data. The hierarchical decision process can be determined based on observed actual in-store purchase behavior using a set of video cameras and processor implemented instructions for extracting the sequence and timing of the shopper's decision process. The hierarchical decision process, obtained by the clustering of shopper behavior data over multiple shopping trips, can not only identify the sequence of the decision, but can also quantify the volume of shopping trips at each level in the decision process and the amount of time spent by the shopper for making each decision. The decisions of the shopper for each product group can be captured down to the product attribute level. Such in-depth understanding can provide a picture of the relative importance of each product attribute in the purchase decision process, and can help retailers personalize targeted messaging to the shopper.
    • 40. 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。