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    Location-aware event detection
    4.
    发明授权
    Location-aware event detection 有权
    位置感知事件检测

    公开(公告)号：US08638380B2

    公开(公告)日：2014-01-28

    申请号：US13464328

    申请日：2012-05-04

    申请人： Russell Patrick Bobbitt ,  Quanfu Fan ,  Arun Hampapur ,  Frederik Kjeldsen ,  Sharathchandra Umapathirao Pankanti ,  Akira Yanagawa ,  Yun Zhai

    发明人： Russell Patrick Bobbitt ,  Quanfu Fan ,  Arun Hampapur ,  Frederik Kjeldsen ,  Sharathchandra Umapathirao Pankanti ,  Akira Yanagawa ,  Yun Zhai

    IPC分类号： H04N9/083

    CPC分类号： G06K9/00342 ,  G06K9/00711 ,  G06K9/00771 ,  G06K9/64

    摘要： Techniques for detecting one or more events are provided. The techniques include using multiple overlapping regions of interest on a video sequence to cover a location for one or more events, wherein each event is associated with at least one of the multiple overlapping regions of interest, applying multiple-instance learning to the video sequence to select one or more of the multiple overlapping regions of interest to construct one or more location-aware event models, and applying the models to the video sequence to detect the one or more events and to determine the one or more regions of interest that are associated with the one or more events.

    摘要翻译： 提供了用于检测一个或多个事件的技术。 这些技术包括在视频序列上使用多个重叠感兴趣的区域来覆盖一个或多个事件的位置，其中每个事件与多个重叠的感兴趣区域中的至少一个相关联，将多实例学习应用于视频序列到 选择所述多个重叠区域中的一个或多个以构建一个或多个位置感知事件模型，以及将所述模型应用于所述视频序列以检测所述一个或多个事件并且确定所述一个或多个关联区域 与一个或多个事件。

    Activity determination as function of transaction log
    5.
    发明授权
    Activity determination as function of transaction log 有权
    活动确定作为事务日志的功能

    公开(公告)号：US08610766B2

    公开(公告)日：2013-12-17

    申请号：US12890007

    申请日：2010-09-24

    申请人： Lei Ding ,  Quanfu Fan ,  Arun Hampapur ,  Sharathchandra U. Pankanti

    发明人： Lei Ding ,  Quanfu Fan ,  Arun Hampapur ,  Sharathchandra U. Pankanti

    IPC分类号： G06K9/00 ,  H04N7/18

    CPC分类号： G06K9/6284 ,  G06K9/00335 ,  G06K9/00771 ,  G08B13/19613

    摘要： Human behavior alerts are determined from a video stream through application of video analytics that parse a video stream into a plurality of segments, wherein each of the segments are either temporally related to at least one of a plurality of temporally distinct transactions in an event data log; or they are each associated with a pseudo transaction marker if not temporally related to at least one of the temporally distinct transactions and an image analysis indicates a temporal correlation with at least one of the distinct transactions is expected. Visual image features are extracted from the segments and one-SVM classification is performed on the extracted features to categorize segments into inliers or outliers relative to a threshold boundary. Event of concern alerts are issued with respect to the inlier segments associated with the associated pseudo transaction marker.

    摘要翻译： 通过应用将视频流解析成多个段的视频分析从视频流确定人的行为警报，其中每个段在时间上与事件数据日志中的多个时间上不同的事务中的至少一个相关 ; 或者如果与时间上不同的交易中的至少一个时间上不相关，并且图像分析指示与至少一个不同交易的时间相关性，则它们都与伪交易标记相关联。 从段中提取视觉图像特征，并且对所提取的特征执行单SVM分类，以将段分类为相对于阈值边界的内联或异常值。 关于与相关联的伪交易标记相关联的不规则段发出关注警报的事件。

    REAL TIME PROCESSING OF VIDEO FRAMES FOR TRIGGERING AN ALERT
    7.
    发明申请
    REAL TIME PROCESSING OF VIDEO FRAMES FOR TRIGGERING AN ALERT 有权
    用于触发警报的视频框架的实时处理

    公开(公告)号：US20120320269A1

    公开(公告)日：2012-12-20

    申请号：US13597902

    申请日：2012-08-29

    申请人： Rogerio Schmidt Feris ,  Arun Hampapur ,  Zuoxuan Lu ,  Ying-li Tian

    发明人： Rogerio Schmidt Feris ,  Arun Hampapur ,  Zuoxuan Lu ,  Ying-li Tian

    IPC分类号： H04N5/04

    CPC分类号： G06T7/2053 ,  G06K9/00711 ,  G06K9/00718 ,  G06K9/00771 ,  G06K9/44 ,  G06T7/187 ,  G06T7/194 ,  G06T7/254 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20036 ,  G06T2207/30232

    摘要： A method and system for real time processing of a sequence of video frames. A current frame in the sequence and at least one frame in the sequence occurring prior to the current frame is analyzed. Each frame includes a two-dimensional array of pixels. The sequence of video frames is received in synchronization with a recording of the video frames in real time. The analyzing includes performing a background subtraction on the at least one frame, which determines a background image and a static region mask associated with a static region consisting of a contiguous distribution of pixels in the current frame. The static region mask identifies each pixel in the static region upon the static region mask being superimposed on the current frame. The background image includes the array of pixels and a background model of the at least one frame and does not include any moving object.

    摘要翻译： 一种用于实时处理视频帧序列的方法和系统。 分析序列中的当前帧和在当前帧之前发生的序列中的至少一个帧。 每帧包括二维像素阵列。 视频帧的序列与视频帧的实时记录同步地被接收。 所述分析包括在所述至少一个帧上执行背景减除，其确定与由当前帧中的连续的像素分布组成的静态区域相关联的背景图像和静态区域掩模。 当静态区域掩模叠加在当前帧上时，静态区域掩模识别静态区域中的每个像素。 背景图像包括像素阵列和至少一个帧的背景模型，并且不包括任何移动物体。

    Automatic multiscale image acquisition from a steerable camera
    8.
    发明授权
    Automatic multiscale image acquisition from a steerable camera 失效
    从可控照相机进行自动多尺度图像采集

    公开(公告)号：US08289392B2

    公开(公告)日：2012-10-16

    申请号：US12166732

    申请日：2008-07-02

    申请人： Andrew William Senior ,  Sharathchandra Pankanti ,  Arun Hampapur ,  Lisa Marie Brown ,  Ying-Li Tian

    发明人： Andrew William Senior ,  Sharathchandra Pankanti ,  Arun Hampapur ,  Lisa Marie Brown ,  Ying-Li Tian

    IPC分类号： H04N7/18

    CPC分类号： H04N5/232 ,  H04N5/23216 ,  H04N5/247 ,  H04N7/18

    摘要： A system for automatically acquiring high-resolution images by steering a pan-tilt-zoom camera at targets detected in a fixed camera view is provided. The system uses automatic or manual calibration between multiple cameras. Using automatic calibration, the homography between the cameras in a home position is estimated together with the effects of pan and tilt controls and the expected height of a person in the image. These calibrations are chained together to steer a slave camera. The manual calibration scheme steers a camera to the desired region of interest and calculates the pan, tile and zoom parameters accordingly.

    摘要翻译： 提供了一种用于通过将俯仰变焦相机瞄准在固定摄像机视图中检测到的目标来自动获取高分辨率图像的系统。 该系统使用多台摄像机之间的自动或手动校准。 使用自动校准，估计初始位置的摄像机之间的单应性以及平移和倾斜控制的影响以及人物在图像中的预期高度。 这些校准被链接在一起以引导从照相机。 手动校准方案将相机引导到所需的感兴趣区域，并相应地计算平移，平铺和缩放参数。