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    System and method for automatic person counting and detection of specific events
    2.
    发明授权
    System and method for automatic person counting and detection of specific events 有权
    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。

    SYSTEMS AND METHODS FOR ACTION RECOGNITION
    5.
    发明申请
    SYSTEMS AND METHODS FOR ACTION RECOGNITION 有权
    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。

    Method and system for detecting a signal structure from a moving video platform
    7.
    发明授权
    Method and system for detecting a signal structure from a moving video platform 有权
    用于从移动视频平台检测信号结构的方法和系统

    公开(公告)号：US08229170B2

    公开(公告)日：2012-07-24

    申请号：US12183326

    申请日：2008-07-31

    申请人： Thomas Baby Sebastian ,  Peter Henry Tu

    发明人： Thomas Baby Sebastian ,  Peter Henry Tu

    IPC分类号： G06K9/00

    CPC分类号： G06K9/3233 ,  B61L3/065 ,  B61L23/041

    摘要： The present invention aims at providing a method for detecting a signal structure from a moving vehicle. The method for detecting signal structure includes capturing an image from a camera mounted on the moving vehicle. The method further includes restricting a search space by predefining candidate regions in the image, extracting a set of features of the image within each candidate region and detecting the signal structure accordingly.

    摘要翻译： 本发明旨在提供一种从移动车辆检测信号结构的方法。 用于检测信号结构的方法包括从安装在移动车辆上的照相机捕获图像。 该方法还包括通过预先确定图像中的候选区域来限制搜索空间，提取每个候选区域内的图像的一组特征并相应地检测信号结构。

    Action-based models to identify learned tasks
    10.
    发明授权
    Action-based models to identify learned tasks 有权
    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。