Action-based models to identify learned tasks
    1.
    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

    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。

    SYSTEMS AND METHODS FOR ACTION RECOGNITION
    2.
    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

    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。

    USAGE MEASURENT TECHNIQUES AND SYSTEMS FOR INTERACTIVE ADVERTISING
    6.
    发明申请
    USAGE MEASURENT TECHNIQUES AND SYSTEMS FOR INTERACTIVE ADVERTISING 审中-公开
    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

    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。

    ANALYTICS-TO-CONTENT INTERFACE FOR INTERACTIVE ADVERTISING
    8.
    发明申请
    ANALYTICS-TO-CONTENT INTERFACE FOR INTERACTIVE ADVERTISING 审中-公开
    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

    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。

    SYSTEM AND METHOD FOR TRACKING AND RECOGNIZING PEOPLE
    9.
    发明申请
    SYSTEM AND METHOD FOR TRACKING AND RECOGNIZING PEOPLE 审中-公开
    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

    IPC分类号: G06K9/00

    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。