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18 条记录 (耗时 0.022 秒)

    Automatic multi-device localization and collaboration using cameras
    1.
    发明授权
    Automatic multi-device localization and collaboration using cameras 有权
    使用相机自动多设备本地化和协作

    公开(公告)号：US08531519B1

    公开(公告)日：2013-09-10

    申请号：US13605194

    申请日：2012-09-06

    申请人： Yifan Peng ,  Wei Hua ,  Hrishikesh Aradhye ,  Rodrigo Carceroni

    发明人： Yifan Peng ,  Wei Hua ,  Hrishikesh Aradhye ,  Rodrigo Carceroni

    IPC分类号： H04N7/18 ,  G06K9/66

    CPC分类号： H04N7/18

    摘要： Implementations relate to a computer-implemented method and a device for determining a relative posed between devices. The method can include receiving data representing first keypoint features from a first image captured by a camera of a second mobile computing device; capturing, by a camera of a first mobile computing device, a second image, wherein the first image and the second image comprise a substantially common scene having an area of overlap; computing, by the first mobile computing device, data representing second keypoint features from the second image; determining, by the first mobile computing device, based at least in part on the data representing first keypoint features and the data representing second keypoint features, a relative pose of the first mobile computing device and the second mobile computing device; and communicating the relative pose to the second mobile computing device.

    摘要翻译： 实现涉及计算机实现的方法和用于确定设备之间的相对设置的设备。 该方法可以包括从由第二移动计算设备的相机捕获的第一图像接收表示第一关键点特征的数据; 通过第一移动计算设备的相机捕获第二图像，其中所述第一图像和所述第二图像包括具有重叠区域的基本上共同的场景; 由所述第一移动计算设备计算表示来自所述第二图像的第二关键点特征的数据; 至少部分地基于表示第一关键点特征的数据和表示第二关键点特征的数据确定第一移动计算设备和第二移动计算设备的相对姿态; 以及将所述相对姿势传达给所述第二移动计算设备。

    Virtual camera operator
    3.
    发明授权
    Virtual camera operator 有权
    虚拟摄像机操作员

    公开(公告)号：US08903130B1

    公开(公告)日：2014-12-02

    申请号：US13467442

    申请日：2012-05-09

    申请人： Rodrigo Carceroni ,  Wei Hua

    发明人： Rodrigo Carceroni ,  Wei Hua

    IPC分类号： G06K9/36

    CPC分类号： G06K9/00765 ,  H04N21/4394 ,  H04N21/44218 ,  H04N21/8106

    摘要： A method and apparatus for virtual camera operation is disclosed. Virtual camera operation may include identifying potential subjects of a video stream by identifying faces of participants in the input video stream. Virtual camera operation may include determining a speaking state of each participant in the input video stream based on their respective identified face. Virtual camera operation may include identifying a subject of the input video stream based on the speaking state. Virtual camera operation may include generating, using a processor, an output video stream including a portion of the input video stream based on the subject.

    摘要翻译： 公开了一种用于虚拟相机操作的方法和装置。 虚拟相机操作可以包括通过识别输入视频流中的参与者的面部来识别视频流的潜在主体。 虚拟相机操作可以包括基于它们各自识别的面部来确定输入视频流中每个参与者的说话状态。 虚拟相机操作可以包括基于说话状态识别输入视频流的主题。 虚拟相机操作可以包括使用处理器生成包括基于被摄体的输入视频流的一部分的输出视频流。

    Methods for detecting therapeutic effects of anti-cancer drugs
    4.
    发明申请
    Methods for detecting therapeutic effects of anti-cancer drugs 有权
    检测抗癌药物治疗效果的方法

    公开(公告)号：US20100112564A1

    公开(公告)日：2010-05-06

    申请号：US12380103

    申请日：2009-02-23

    申请人： Liping Zhao ,  Wei Hua ,  Xiaoyan Pang ,  Jia Wei ,  Dazheng Wu

    发明人： Liping Zhao ,  Wei Hua ,  Xiaoyan Pang ,  Jia Wei ,  Dazheng Wu

    IPC分类号： C12Q1/68

    CPC分类号： C12Q1/6886 ,  C12Q1/6888

    摘要： precancerous lesions, and subject having precancerous lesions and being treated with an anti-cancer agent; (2) isolating total microbial genomic DNA from the fecal samples to provide total microbial genomic DNA; (3) comparing the total microbial genomic DNA using fingerprint spectrum analysis; (4) identifying key fingerprint bands correlated with the effect of the anti-cancer agent; (5) identifying key microorganisms associated with the key fingerprint bands; (6) designing microbial sequence-specific primers and probes; and (7) determining the quantitative differences of the key microorganisms in fecal samples to identify an indicator microorganism for monitoring the effect of the anti-cancer agent.

    摘要翻译： 癌前病变和患有癌前病变并且用抗癌剂治疗的受试者; （2）从粪便样品中分离总微生物基因组DNA以提供总微生物基因组DNA; （3）使用指纹谱分析比较总微生物基因组DNA; （4）识别与抗癌剂作用相关的关键指纹带; （5）识别与关键指纹带相关的关键微生物; （6）设计微生物序列特异性引物和探针; 和（7）确定粪便样品中关键微生物的定量差异，以鉴定用于监测抗癌剂效果的指示剂微生物。

    Leg length discrepancy corrective sock
    5.
    发明申请
    Leg length discrepancy corrective sock 审中-公开
    腿长差异矫正袜

    公开(公告)号：US20060253962A1

    公开(公告)日：2006-11-16

    申请号：US11126187

    申请日：2005-05-11

    申请人： Wei Hua

    发明人： Wei Hua

    IPC分类号： A41B11/00

    CPC分类号： A41B11/007 ,  A41B11/02

    摘要： The present invention provides a leg length discrepancy corrective sock, which has an elastic strip attached within a sock. A holding space formed between a sock body and a sock sole of the sock and the elastic strip provides for disposing a filler therein, and height of the filler achieves the objective of correcting the difference in length of the lower limbs of the leg length discrepancy sufferer. Hence, equalizing the difference in length of the lower limbs is easily achieved by wearing the leg length discrepancy corrective sock of appropriate thickness.

    摘要翻译： 本发明提供一种腿部长度差异矫正袜，其具有附接在袜子内的弹性带。 在袜子和袜子的袜底之间形成的保持空间和弹性条提供在其中设置填充物，并且填充物的高度实现校正腿长度差异患者的下肢长度差异的目的 。 因此，通过佩戴适当厚度的腿部长度差异矫正袜子，可以容易地实现对下肢长度差的均衡。

    Method of and system for hierarchical human/crowd behavior detection
    7.
    发明申请
    Method of and system for hierarchical human/crowd behavior detection 有权
    分层人群/人群行为检测的方法和系统

    公开(公告)号：US20090222388A1

    公开(公告)日：2009-09-03

    申请号：US12313193

    申请日：2008-11-17

    申请人： Wei Hua ,  Xiangrong Chen ,  Ryan Crabb ,  Jonathan Cook ,  Juwei Lu

    发明人： Wei Hua ,  Xiangrong Chen ,  Ryan Crabb ,  Jonathan Cook ,  Juwei Lu

    IPC分类号： G06N3/08 ,  G06K9/00 ,  G06N5/02 ,  G06F15/18 ,  G06F17/00

    CPC分类号： G06N5/02 ,  G06K9/00778

    摘要： The present invention is directed to a computer automated method of selectively identifying a user specified behavior of a crowd. The method comprises receiving video data but can also include audio data and sensor data. The video data contains images a crowd. The video data is processed to extract hierarchical human and crowd features. The detected crowd features are processed to detect a selectable crowd behavior. The selected crowd behavior detected is specified by a configurable behavior rule. Human detection is provided by a hybrid human detector algorithm which can include Adaboost or convolutional neural network. Crowd features are detected using textual analysis techniques. The configurable crowd behavior for detection can be defined by crowd behavioral language.

    摘要翻译： 本发明涉及一种选择性地识别用户指定的人群行为的计算机自动化方法。 该方法包括接收视频数据，但也可以包括音频数据和传感器数据。 视频数据包含人群中的图像。 视频数据被处理以提取分层的人和人群特征。 检测到的人群特征被处理以检测可选择的人群行为。 检测到的所选群体行为由可配置行为规则指定。 人类检测由可以包括Adaboost或卷积神经网络的混合人体检测器算法提供。 使用文本分析技术检测人群特征。 用于检测的可配置人群行为可以由人群行为语言来定义。

    Active and adaptive intelligent video surveillance system
    9.
    发明授权
    Active and adaptive intelligent video surveillance system 有权
    主动和自适应智能视频监控系统

    公开(公告)号：US08649594B1

    公开(公告)日：2014-02-11

    申请号：US12802265

    申请日：2010-06-03

    申请人： Wei Hua ,  Juwei Lu ,  Jinman Kang ,  Jon Cook ,  Haisong Gu

    发明人： Wei Hua ,  Juwei Lu ,  Jinman Kang ,  Jon Cook ,  Haisong Gu

    IPC分类号： G06K9/62

    CPC分类号： G06K9/00771 ,  G06K9/6263

    摘要： A method for assessing events detected by a surveillance system includes assessing the likelihood that the events correspond to events being monitored from feedback in response to a condition set by a user. Classifiers are created for the events from the feedback. The classifiers are applied to allow the surveillance system improve its accuracy when processing new video data.

    摘要翻译： 用于评估由监视系统检测到的事件的方法包括响应于由用户设置的条件，从反馈评估事件对应于正在监视的事件的可能性。 针对来自反馈的事件创建分类器。 应用分类器来允许监视系统在处理新的视频数据时提高其准确性。

    Method of and system for hierarchical human/crowd behavior detection
    10.
    发明授权
    Method of and system for hierarchical human/crowd behavior detection 有权
    分层人群/人群行为检测的方法和系统

    公开(公告)号：US08195598B2

    公开(公告)日：2012-06-05

    申请号：US12313193

    申请日：2008-11-17

    申请人： Wei Hua ,  Xiangrong Chen ,  Ryan Crabb ,  Juwei Lu ,  Jonathan Cook

    发明人： Wei Hua ,  Xiangrong Chen ,  Ryan Crabb ,  Juwei Lu ,  Jonathan Cook

    IPC分类号： G06F15/00 ,  G06F15/18

    CPC分类号： G06N5/02 ,  G06K9/00778

    摘要： The present invention is directed to a computer automated method of selectively identifying a user specified behavior of a crowd. The method comprises receiving video data but can also include audio data and sensor data. The video data contains images a crowd. The video data is processed to extract hierarchical human and crowd features. The detected crowd features are processed to detect a selectable crowd behavior. The selected crowd behavior detected is specified by a configurable behavior rule. Human detection is provided by a hybrid human detector algorithm which can include Adaboost or convolutional neural network. Crowd features are detected using textual analysis techniques. The configurable crowd behavior for detection can be defined by crowd behavioral language.

    摘要翻译： 本发明涉及一种选择性地识别用户指定的人群行为的计算机自动化方法。 该方法包括接收视频数据，但也可以包括音频数据和传感器数据。 视频数据包含人群中的图像。 视频数据被处理以提取分层的人和人群特征。 检测到的人群特征被处理以检测可选择的人群行为。 检测到的所选群体行为由可配置行为规则指定。 人类检测由可以包括Adaboost或卷积神经网络的混合人体检测器算法提供。 使用文本分析技术检测人群特征。 用于检测的可配置人群行为可以由人群行为语言来定义。