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1. 发明申请

US20090290753A1 METHOD AND SYSTEM FOR GAZE ESTIMATION 审中-公开
标题翻译：估计方法和系统
公开(公告)号：US20090290753A1
公开(公告)日：2009-11-26
申请号：US12474962
申请日：2009-05-29
申请人： Xiaoming Liu , Nils Oliver Krahnstoever , Ambalangoda Gurunnanselage Amitha Perera , Anthony James Hoogs , Peter Henry Tu , Gianfranco Doretto
发明人： Xiaoming Liu , Nils Oliver Krahnstoever , Ambalangoda Gurunnanselage Amitha Perera , Anthony James Hoogs , Peter Henry Tu , Gianfranco Doretto
IPC分类号： G06K9/00
CPC分类号： G06K9/00718
摘要： A gaze estimation method and system, the method including capturing a video sequence of images with an image capturing system, designating at least one landmark in a head portion of the captured video sequence, fitting a virtual model of the head portion to the actual head portion in the captured video sequence, and determining the gaze estimation.
摘要翻译：一种注视估计方法和系统，所述方法包括：利用图像捕获系统捕获图像的视频序列，指定所捕获的视频序列的头部中的至少一个地标，将所述头部的虚拟模型拟合到所述实际头部在捕获的视频序列中，并且确定注视估计。

2. 发明授权

US08154600B2 Method and system for distributed multiple target tracking 有权
标题翻译：分布式多目标跟踪的方法和系统
公开(公告)号：US08154600B2
公开(公告)日：2012-04-10
申请号：US12099301
申请日：2008-04-08
申请人： Ting Yu , Peter Henry Tu , Ambalangoda Gurunnanselage Amitha Perera , Jens Rittscher , Nils Oliver Krahnstoever , Xiaoming Liu
发明人： Ting Yu , Peter Henry Tu , Ambalangoda Gurunnanselage Amitha Perera , Jens Rittscher , Nils Oliver Krahnstoever , Xiaoming Liu
IPC分类号： H04N5/225
CPC分类号： G06K9/6278 , G06K9/32 , G06K9/6226 , G06T7/277
摘要： A method and system for distributed tracking of multiple targets is disclosed. Multiple targets to be tracked by a plurality of trackers are detected in a frame. The motion state variable of each of the plurality of trackers is calculated in the E-step of a variational Expectation-Maximization algorithm. Further, the data association variable of each of the plurality of trackers is calculated in the M-step of the algorithm. Depending on the motion state variable and the data association variable, the multiple targets are tracked.
摘要翻译：公开了一种用于多个目标的分布式跟踪的方法和系统。在多个跟踪器中跟踪的多个目标被检测到。在变化期望最大化算法的E步骤中计算多个跟踪器中的每一个的运动状态变量。此外，在算法的M步中计算多个跟踪器中的每一个的数据关联变量。根据运动状态变量和数据关联变量，跟踪多个目标。

3. 发明申请

US20080259163A1 METHOD AND SYSTEM FOR DISTRIBUTED MULTIPLE TARGET TRACKING 有权
标题翻译：用于分布式多目标跟踪的方法和系统
公开(公告)号：US20080259163A1
公开(公告)日：2008-10-23
申请号：US12099301
申请日：2008-04-08
申请人： Ting Yu , Peter Henry Tu , Ambalangoda Gurunnanselage Amitha Perera , Jens Rittscher , Nils Oliver Krahnstoever , Xiaoming Liu
发明人： Ting Yu , Peter Henry Tu , Ambalangoda Gurunnanselage Amitha Perera , Jens Rittscher , Nils Oliver Krahnstoever , Xiaoming Liu
IPC分类号： H04N5/00
CPC分类号： G06K9/6278 , G06K9/32 , G06K9/6226 , G06T7/277
摘要： A method and system for distributed tracking of multiple targets is disclosed. Multiple targets to be tracked by a plurality of trackers are detected in a frame. The motion state variable of each of the plurality of trackers is calculated in the E-step of a variational Expectation-Maximization algorithm. Further, the data association variable of each of the plurality of trackers is calculated in the M-step of the algorithm. Depending on the motion state variable and the data association variable, the multiple targets are tracked.
摘要翻译：公开了一种用于多个目标的分布式跟踪的方法和系统。在多个跟踪器中跟踪的多个目标被检测到。在变化期望最大化算法的E步骤中计算多个跟踪器中的每一个的运动状态变量。此外，在算法的M步中计算多个跟踪器中的每一个的数据关联变量。根据运动状态变量和数据关联变量，跟踪多个目标。

4. 发明授权

US07711146B2 Method and system for performing image re-identification 有权
标题翻译：执行图像重新识别的方法和系统
公开(公告)号：US07711146B2
公开(公告)日：2010-05-04
申请号：US11478049
申请日：2006-06-30
申请人： Peter Henry Tu , Thomas Baby Sebastian , Jens Rittscher , Nils Oliver Krahnstoever , Gianfranco Doretto , Xiaoming Liu
发明人： Peter Henry Tu , Thomas Baby Sebastian , Jens Rittscher , Nils Oliver Krahnstoever , Gianfranco Doretto , Xiaoming Liu
IPC分类号： G06K9/00
CPC分类号： G06K9/00295 , G06K9/00375 , G06K9/4671
摘要： A method for re-identifying an image is provided. The method comprises obtaining a plurality of images and generating a correspondence map between the plurality of images. The method further comprises defining a plurality of region signatures for one or more regions comprising the plurality of images and comparing the plurality of images based on the correspondence map and the plurality of region signatures to perform image re-identification.
摘要翻译：提供了重新识别图像的方法。该方法包括获得多个图像并在多个图像之间生成对应关系图。该方法还包括为包括多个图像的一个或多个区域定义多个区域签名，并且基于对应图和多个区域签名来比较多个图像以执行图像重新识别。

5. 发明申请

US20090015678A1 METHOD AND SYSTEM FOR AUTOMATIC POSE AND TRAJECTORY TRACKING IN VIDEO 审中-公开
标题翻译：在视频中自动跟踪和跟踪跟踪的方法和系统
公开(公告)号：US20090015678A1
公开(公告)日：2009-01-15
申请号：US11774958
申请日：2007-07-09
申请人： Anthony J. Hoogs , Nils Oliver Krahnstoever , A. G. Perera , Xiaoming Liu , Peter Tu , Gianfranco Doretto
发明人： Anthony J. Hoogs , Nils Oliver Krahnstoever , A. G. Perera , Xiaoming Liu , Peter Tu , Gianfranco Doretto
IPC分类号： H04N5/225 , H04N5/44
CPC分类号： G06T7/20 , G06T7/70 , G06T2207/30196 , G06T2207/30221 , G06T2207/30228 , G06T2207/30241
摘要： A system and method, the method including stabilizing a video sequence captured by an image capturing system, extracting a subject of interest in the stabilized video sequence to isolate the subject from other objects in the video sequence, determining a trajectory associated with the subject, tracking the trajectory of the subject over a period of time; extracting data associated with the trajectory of the subject based on the tracking; and presenting the extracted data in a user-understandable format.
摘要翻译：一种系统和方法，所述方法包括稳定由图像捕获系统捕获的视频序列，提取所述稳定视频序列中的感兴趣对象以将所述对象与所述视频序列中的其他对象隔离，确定与所述对象相关联的轨迹，跟踪一段时期的主题轨迹; 基于跟踪提取与对象的轨迹相关联的数据; 并以用户可理解的格式呈现提取的数据。

6. 发明申请

US20080243614A1 ADAPTIVE ADVERTISING AND MARKETING SYSTEM AND METHOD 审中-公开
标题翻译：自适应广告和营销系统及方法
公开(公告)号：US20080243614A1
公开(公告)日：2008-10-02
申请号：US11858292
申请日：2007-09-20
申请人： Peter Henry Tu , Nils Oliver Krahnstoever , Timothy Patrick Kelliher , Xiaoming Liu
发明人： Peter Henry Tu , Nils Oliver Krahnstoever , Timothy Patrick Kelliher , Xiaoming Liu
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0269
摘要： A technique of adaptive advertising is provided. The technique includes obtaining at least one of demographic and behavioral profiles of a plurality of individuals in an environment and adjusting an advertising strategy in the environment of one or more products based upon the demographic and behavioral profiles of the plurality of individuals.
摘要翻译：提供了适应性广告技术。该技术包括在环境中获得多个个体的人口统计学和行为概况中的至少一个，并且基于多个个体的人口和行为概况来调整一个或多个产品的环境中的广告策略。

7. 发明授权

US07596241B2 System and method for automatic person counting and detection of specific events 有权
标题翻译：自动人员计数和特定事件检测的系统和方法
公开(公告)号：US07596241B2
公开(公告)日：2009-09-29
申请号：US11290672
申请日：2005-11-30
申请人： Jens Rittscher , Peter Henry Tu , Nils Oliver Krahnstoever , Amitha Perera , Thomas Baby Sebastian , Xiaoming Liu
发明人： Jens Rittscher , Peter Henry Tu , Nils Oliver Krahnstoever , Amitha Perera , Thomas Baby Sebastian , Xiaoming Liu
IPC分类号： G06K9/00 , G06K9/38
CPC分类号： G06K9/00778
摘要： A system for detecting and counting individuals in a stationary or moving crowd based on a digital or digitized image captured from a single camera. Initial information is assumed based on a foot-to-head plane homology, where a geometric construct is developed to best enclose image features with a high probability of being an individual within a crowd. These geometric constructs are then subjected to further probabilistic analysis to determine individuals. The vector track of each individual is determined to validate the determination of a group of features as individuals, thereby compensating for occlusion of an individual within any given frame image. A virtual gate is then employed to count the individuals moving past the virtual gate. Also, by weighting portions of the individual, events near the gate can be predicted.
摘要翻译：一种用于基于从单个摄像机捕获的数字或数字化图像来检测和计数静止或移动人群中的个体的系统。假定初始信息是基于一个平头同位性，其中开发几何构造以最好地围绕人群中个体的概率最大地包围图像特征。然后对这些几何构造进行进一步的概率分析以确定个体。确定每个个体的矢量轨迹以验证作为个体的一组特征的确定，从而补偿任何给定帧图像内的个体的遮挡。然后使用虚拟门来对移动通过虚拟门的个人进行计数。此外，通过加权个体的部分，可以预测门附近的事件。

8. 发明申请

US20070211938A1 Method and system for performing image re-identification 有权
标题翻译：执行图像重新识别的方法和系统
公开(公告)号：US20070211938A1
公开(公告)日：2007-09-13
申请号：US11478049
申请日：2006-06-30
申请人： Peter Tu , Thomas Sebastian , Jens Rittscher , Nils Krahnstoever , Gianfranco Doretto , Xiaoming Liu
发明人： Peter Tu , Thomas Sebastian , Jens Rittscher , Nils Krahnstoever , Gianfranco Doretto , Xiaoming Liu
IPC分类号： G06K9/00
CPC分类号： G06K9/00295 , G06K9/00375 , G06K9/4671
摘要： A method for re-identifying an image is provided. The method comprises obtaining a plurality of images and generating a correspondence map between the plurality of images. The method further comprises defining a plurality of region signatures for one or more regions comprising the plurality of images and comparing the plurality of images based on the correspondence map and the plurality of region signatures to perform image re-identification.
摘要翻译：提供了重新识别图像的方法。该方法包括获得多个图像并在多个图像之间生成对应关系图。该方法还包括为包括多个图像的一个或多个区域定义多个区域签名，并且基于对应图和多个区域签名来比较多个图像以执行图像重新识别。

9. 发明申请

US20130177244A1 IMAGE CONCEALING VIA EFFICIENT FEATURE SELECTION 有权
标题翻译：通过有效的特征选择进行图像感知
公开(公告)号：US20130177244A1
公开(公告)日：2013-07-11
申请号：US13346479
申请日：2012-01-09
申请人： Xiaoming Liu , Peter Henry Tu , Ya Xue
发明人： Xiaoming Liu , Peter Henry Tu , Ya Xue
IPC分类号： G06K9/46 , G06K9/34
CPC分类号： G06K9/6206 , G06K9/00281 , G06K9/6224 , G06K9/623 , G06K9/6263
摘要： A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.
摘要翻译：公开了一种用于无监督特征选择的新技术。所公开的方法包括自动选择图像的特征的子集。另外，可以使用诸如基于最小二乘法的凝结算法的凝结算法来结合特征子集的选择。通过选择图像的特征表示的子集，可以减少或去除冗余和/或不相关的特征，并且可以提高基于最小二乘法的凝结的效率和精度。

10. 发明授权

US08155399B2 Generic face alignment via boosting 有权
标题翻译：通过升压进行通用面对齐
公开(公告)号：US08155399B2
公开(公告)日：2012-04-10
申请号：US12056051
申请日：2008-03-26
申请人： Xiaoming Liu , Peter Henry Tu , Frederick Wilson Wheeler
发明人： Xiaoming Liu , Peter Henry Tu , Frederick Wilson Wheeler
IPC分类号： G06K9/62
CPC分类号： G06K9/00241 , G06K9/621
摘要： There is provided a discriminative framework for image alignment. Image alignment is generally the process of moving and deforming a template to minimize the distance between the template and an image. There are essentially three elements to image alignment, namely template representation, distance metric, and optimization method. For template representation, given a face dataset with ground truth landmarks, a boosting-based classifier is trained that is able to learn the decision boundary between two classes—the warped images from ground truth landmarks (e.g., positive class) and those from perturbed landmarks (e.g., negative class). A set of trained weak classifiers based on Haar-like rectangular features determines a boosted appearance model. A distance metric is a score from the strong classifier, and image alignment is the process of optimizing (e.g., maximizing) the classification score. On the generic face alignment problem, the proposed framework greatly improves the robustness, accuracy, and efficiency of alignment.
摘要翻译：提供了一种用于图像对齐的辨别框架。图像对齐通常是移动和变形模板的过程，以最小化模板和图像之间的距离。图像对齐基本上有三个要素，即模板表示，距离度量和优化方法。对于模板表示，给定一个具有地面真实地标的面部数据集，训练有素的分类器能够学习两个类之间的决策边界 - 来自地面真实地标（例如，积极的类）和来自扰动地标的变形图像（例如负面班）。基于哈尔式矩形特征的一组经过训练的弱分类器决定了外观模型的提升。距离度量是来自强分类器的分数，图像对准是优化（例如，最大化）分类分数的过程。在通用面对齐问题上，提出的框架大大提高了对齐的鲁棒性，准确性和效率。

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