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1. 发明授权

US08842881B2 Real-time video tracking system 有权
标题翻译：实时视频跟踪系统
公开(公告)号：US08842881B2
公开(公告)日：2014-09-23
申请号：US13456399
申请日：2012-04-26
申请人： Dashan Gao , Ting Yu , Li Guan , Yi Yao , Kedar Anil Patwardhan , Peter Henry Tu
发明人： Dashan Gao , Ting Yu , Li Guan , Yi Yao , Kedar Anil Patwardhan , Peter Henry Tu
IPC分类号： G06K9/00
CPC分类号： G06K9/46 , G06K9/00711 , G06K9/00771 , G06K9/00785 , G06K9/629 , G06T7/155 , G06T7/246 , G06T2207/10016
摘要： A method for detecting and tracking a target includes detecting the target using a plurality of feature cues, fusing the plurality of feature cues to form a set of target hypotheses, tracking the target based on the set of target hypotheses and a scene context analysis, and updating the tracking of the target based on a target motion model.
摘要翻译：用于检测和跟踪目标的方法包括使用多个特征提示来检测目标，将多个特征提示融合以形成一组目标假设，基于目标假设集合和场景上下文分析来跟踪目标，以及基于目标运动模型更新目标的跟踪。

2. 发明申请

US20130287248A1 REAL-TIME VIDEO TRACKING SYSTEM 有权
标题翻译：实时视频跟踪系统
公开(公告)号：US20130287248A1
公开(公告)日：2013-10-31
申请号：US13456399
申请日：2012-04-26
申请人： Dashan Gao , Ting Yu , Li Guan , Yi Yao , Kedar Anil Patwardhan , Peter Henry Tu
发明人： Dashan Gao , Ting Yu , Li Guan , Yi Yao , Kedar Anil Patwardhan , Peter Henry Tu
IPC分类号： G06K9/46 , G06K9/00
CPC分类号： G06K9/46 , G06K9/00711 , G06K9/00771 , G06K9/00785 , G06K9/629 , G06T7/155 , G06T7/246 , G06T2207/10016
摘要： A method for detecting and tracking a target includes detecting the target using a plurality of feature cues, fusing the plurality of feature cues to form a set of target hypotheses, tracking the target based on the set of target hypotheses and a scene context analysis, and updating the tracking of the target based on a target motion model.
摘要翻译：用于检测和跟踪目标的方法包括使用多个特征提示来检测目标，将多个特征提示融合以形成一组目标假设，基于目标假设集合和场景上下文分析来跟踪目标，以及基于目标运动模型更新目标的跟踪。

3. 发明授权

US09785744B2 System and method for protocol adherence 有权
公开(公告)号：US09785744B2
公开(公告)日：2017-10-10
申请号：US13231639
申请日：2011-09-13
申请人： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, Jr. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
发明人： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, Jr. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
IPC分类号： H04N7/18 , G06F19/00 , G06Q10/00 , G08B21/24
CPC分类号： G16H40/20 , G06F19/00 , G06F19/321 , G06F19/3418 , G06Q10/00 , G08B21/245 , G16H10/60 , G16H30/20 , G16H80/00
摘要： The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

4. 发明申请

US20120154582A1 SYSTEM AND METHOD FOR PROTOCOL ADHERENCE 有权
标题翻译：用于协议约束的系统和方法
公开(公告)号：US20120154582A1
公开(公告)日：2012-06-21
申请号：US13231639
申请日：2011-09-13
申请人： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, JR. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
发明人： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, JR. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
IPC分类号： G08B19/00 , H04N7/18
CPC分类号： G16H40/20 , G06F19/00 , G06F19/321 , G06F19/3418 , G06Q10/00 , G08B21/245 , G16H10/60 , G16H30/20 , G16H80/00
摘要： The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.
摘要翻译：本文所公开的系统和方法提供了一种集成和自动化的工作流程，传感器和推理系统，其自动检测协议中的违规行为，适当地警报并记录这些违规行为，便于员工采用协议依从性，并且最终使得能够研究协议的护理比较有效性。该系统在实际的护理过程中向医务人员提供实时警报，从而减少负面病人事件的数量，并最终提高员工在协议遵守方面的行为。

5. 发明授权

US09384448B2 Action-based models to identify learned tasks 有权
标题翻译：基于行动的模型识别学习任务
公开(公告)号：US09384448B2
公开(公告)日：2016-07-05
申请号：US13339297
申请日：2011-12-28
申请人： Peter Henry Tu , Ting Yu , Dashan Gao , Thomas Baby Sebastian , Yi Yao
发明人： Peter Henry Tu , Ting Yu , Dashan Gao , Thomas Baby Sebastian , Yi Yao
IPC分类号： G06N99/00 , G06K9/62
CPC分类号： G06N99/005 , G06K9/6256
摘要： Systems provided herein include a learning environment and an agent. The learning environment includes an avatar and an object. A state signal corresponding to a state of the learning environment includes a location and orientation of the avatar and the object. The agent is adapted to receive the state signal, to issue an action capable of generating at least one change in the state of the learning environment, to produce a set of observations relevant to a task, to hypothesize a set of action models configured to explain the observations, and to vet the set of action models to identify a learned model for the task.
摘要翻译：本文提供的系统包括学习环境和代理。学习环境包括头像和对象。对应于学习环境的状态的状态信号包括化身和对象的位置和方向。该代理适于接收状态信号，以发出能够产生学习环境状态的至少一个变化的动作，以产生与任务相关的一组观察结果，以假设一组动作模型，其被配置为解释观察，并且审视一套动作模型，以确定一个学习的任务模型。

6. 发明申请

US20130138499A1 USAGE MEASURENT TECHNIQUES AND SYSTEMS FOR INTERACTIVE ADVERTISING 审中-公开
标题翻译：用于互动广告的测量技术和系统
公开(公告)号：US20130138499A1
公开(公告)日：2013-05-30
申请号：US13308386
申请日：2011-11-30
申请人： Peter Henry Tu , Mark Lewis Grabb , Xiaoming Liu , Ting Yu , Yi Yao , Dashan Gao , Ming-Ching Chang
发明人： Peter Henry Tu , Mark Lewis Grabb , Xiaoming Liu , Ting Yu , Yi Yao , Dashan Gao , Ming-Ching Chang
IPC分类号： G06Q30/02
摘要： An advertising system is disclosed. In one embodiment, the system includes an advertising display configured to provide an advertisement to potential customers and a camera configured to capture images of the potential customers when the potential customers pass the advertising display. The system may also include an image processing system having a processor and a memory. The memory may include application instructions for execution by the processor, and the image processing system may be configured to execute the application instructions to derive usage characteristics of the potential customers with respect to the advertising display through analysis of the captured images. Additional methods, systems, and articles of manufacture are also disclosed.
摘要翻译：公开了广告系统。在一个实施例中，系统包括被配置为向潜在客户提供广告的广告显示器和被配置为当潜在客户通过广告显示时捕获潜在客户的图像的照相机。该系统还可以包括具有处理器和存储器的图像处理系统。存储器可以包括用于由处理器执行的应用指令，并且图像处理系统可以被配置为执行应用指令以通过分析所捕获的图像来导出相对于广告显示的潜在客户的使用特性。还公开了附加的方法，系统和制品。

7. 发明申请

US20130173504A1 SYSTEMS AND METHODS FOR ACTION RECOGNITION 有权
标题翻译：用于行动识别的系统和方法
公开(公告)号：US20130173504A1
公开(公告)日：2013-07-04
申请号：US13339297
申请日：2011-12-28
申请人： Peter Henry Tu , Ting Yu , Dashan Gao , Thomas Baby Sebastian , Yi Yao
发明人： Peter Henry Tu , Ting Yu , Dashan Gao , Thomas Baby Sebastian , Yi Yao
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06K9/6256
摘要： Systems provided herein include a learning environment and an agent. The learning environment includes an avatar and an object. A state signal corresponding to a state of the learning environment includes a location and orientation of the avatar and the object. The agent is adapted to receive the state signal, to issue an action capable of generating at least one change in the state of the learning environment, to produce a set of observations relevant to a task, to hypothesize a set of action models configured to explain the observations, and to vet the set of action models to identify a learned model for the task.
摘要翻译：本文提供的系统包括学习环境和代理。学习环境包括头像和对象。对应于学习环境的状态的状态信号包括化身和对象的位置和方向。该代理适于接收状态信号，以发出能够产生学习环境状态的至少一个变化的动作，以产生与任务相关的一组观察结果，以假设一组动作模型，其被配置为解释观察，并且审视一套动作模型，以确定一个学习的任务模型。

8. 发明申请

US20130138505A1 ANALYTICS-TO-CONTENT INTERFACE FOR INTERACTIVE ADVERTISING 审中-公开
标题翻译：用于互动广告的分析 - 内容接口
公开(公告)号：US20130138505A1
公开(公告)日：2013-05-30
申请号：US13308376
申请日：2011-11-30
申请人： Peter Henry Tu , Mark Lewis Grabb , Xiaoming Liu , Ting Yu , Yi Yao , Dashan Gao , Ming-Ching Chang
发明人： Peter Henry Tu , Mark Lewis Grabb , Xiaoming Liu , Ting Yu , Yi Yao , Dashan Gao , Ming-Ching Chang
IPC分类号： G06Q30/02
CPC分类号： G06Q30/02
摘要： An advertising system is disclosed. In one embodiment, the system includes a processor and a memory including application instructions for execution by the processor. The application instructions may include a visual analytics engine to analyze visual information including human activity and a content engine separate from the visual analytics engine to provide advertising content to one or more potential customers. Further, the instructions may include an interface module to enable information generated from analysis of the human activity by the visual analytics engine to be transferred to the content engine in accordance with a specification in which the information generated is characterized with a hierarchical, object-oriented data structure. Additional methods, systems, and articles of manufacture are also disclosed.
摘要翻译：公开了广告系统。在一个实施例中，该系统包括处理器和包括由处理器执行的应用指令的存储器。应用指令可以包括视觉分析引擎，用于分析包括人类活动的视觉信息和与视觉分析引擎分离的内容引擎，以向一个或多个潜在客户提供广告内容。此外，指令可以包括接口模块，用于根据其中所生成的信息以层次化，面向对象的特征来指示由视觉分析引擎分析人类活动而产生的信息被传送到内容引擎数据结构。还公开了附加的方法，系统和制品。

9. 发明申请

US20130136298A1 SYSTEM AND METHOD FOR TRACKING AND RECOGNIZING PEOPLE 审中-公开
标题翻译：跟踪和识别人的系统和方法
公开(公告)号：US20130136298A1
公开(公告)日：2013-05-30
申请号：US13306783
申请日：2011-11-29
申请人： Ting Yu , Peter Henry Tu , Dashan Gao , Kunter Seref Akbay , Yi Yao
发明人： Ting Yu , Peter Henry Tu , Dashan Gao , Kunter Seref Akbay , Yi Yao
IPC分类号： G06K9/00
CPC分类号： G06K9/00362 , G06K9/00771 , G06K9/6218 , G06K9/6232 , G06K9/66 , G06T7/70
摘要： A tracking and recognition system is provided. The system includes a computer vision-based identity recognition system configured to recognize one or more persons, without a priori knowledge of the respective persons, via an online discriminative learning of appearance signature models of the respective persons. The computer vision-based identity recognition system includes a memory physically encoding one or more routines, which when executed, cause the performance of constructing pairwise constraints between the unlabeled tracking samples. The computer vision-based identity recognition system also includes a processor configured to receive unlabeled tracking samples collected from one or more person trackers and to execute the routines stored in the memory via one or more algorithms to construct the pairwise constraints between the unlabeled tracking samples.
摘要翻译：提供跟踪和识别系统。该系统包括基于计算机视觉的身份识别系统，其被配置为通过对各个人的外观签名模型的在线辨别学习来识别一个或多个人，而没有相应人员的先验知识。基于计算机视觉的身份识别系统包括物理地对一个或多个例程进行编码的存储器，当被执行时，引起在未标记的跟踪样本之间构建成对约束的性能。基于计算机视觉的身份识别系统还包括处理器，其被配置为接收从一个或多个人跟踪器收集的未标记的跟踪样本，并且经由一个或多个算法来执行存储在存储器中的例程，以构建未标记的跟踪样本之间的成对约束。

10. 发明申请

US20080317337A1 System and method for decomposing a digital image 有权
标题翻译：用于分解数字图像的系统和方法
公开(公告)号：US20080317337A1
公开(公告)日：2008-12-25
申请号：US11821980
申请日：2007-06-25
申请人： Yizhou Wang , Dashan Gao , Haitham Hindi , Minh Binh Do
发明人： Yizhou Wang , Dashan Gao , Haitham Hindi , Minh Binh Do
IPC分类号： G06K9/00
CPC分类号： G06K9/00469
摘要： A system and method for decomposing a digital image is provided. A digital image is represented as a word-graph, which includes words and visualized features, and zone hypotheses that group one or more of the words. Causal dependencies of the zone hypotheses are expressed through a learned generative zone model to which costs and constraints are assigned. An optimal set of the zone hypotheses are inferred, which are non-overlapping, through a heuristic search of the costs and constraints.
摘要翻译：提供了一种用于分解数字图像的系统和方法。数字图像被表示为包括单词和可视化特征的单词图，以及对一个或多个单词进行分组的区域假设。区域假设的因果依赖性通过分配成本和约束的学习生成区域模型来表示。通过对成本和约束的启发式搜索，推断出区域假设的最优集合，它们是不重叠的。

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