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    Intelligent surveillance system and method for integrated event based surveillance
    15.
    发明申请
    Intelligent surveillance system and method for integrated event based surveillance 审中-公开
    智能监控系统及综合事件监控方法

    公开(公告)号：US20070291118A1

    公开(公告)日：2007-12-20

    申请号：US11455251

    申请日：2006-06-16

    申请人： Chiao-Fe Shu ,  Arun Hampapur ,  Zuoxuan Lu ,  Ying-Li Tian ,  Lisa Marie Brown ,  Andrew William Senior

    发明人： Chiao-Fe Shu ,  Arun Hampapur ,  Zuoxuan Lu ,  Ying-Li Tian ,  Lisa Marie Brown ,  Andrew William Senior

    IPC分类号： H04N7/18

    CPC分类号： H04N7/18

    摘要： A surveillance system and method includes a plurality of sensors configured to monitor an environment. A plurality of analytic engines is associated with each of the plurality of sensors. The plurality of analytic engines employs different technologies and is configured to analyze input from the sensors to determine whether an event has occurred in a respective technology. A unifying data model is configured to cross correlate detected events from the different technologies to gain integrated situation awareness across the different technologies.

    摘要翻译： 监视系统和方法包括被配置为监视环境的多个传感器。 多个分析引擎与多个传感器中的每一个相关联。 多个分析引擎采用不同的技术，并且被配置为分析来自传感器的输入以确定在相应技术中是否已经发生事件。 配置统一的数据模型，将来自不同技术的检测到的事件交叉相关，以获得整个不同技术的综合情境意识。

    Automatic Multiscale Image Acquisition from a Steerable Camera
    16.
    发明申请
    Automatic Multiscale Image Acquisition from a Steerable Camera 审中-公开
    自动多尺度图像采集从可转向相机

    公开(公告)号：US20120327246A1

    公开(公告)日：2012-12-27

    申请号：US13602973

    申请日：2012-09-04

    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效果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。

    Method and apparatus for object normalization using object classification
    17.
    发明授权
    Method and apparatus for object normalization using object classification 有权
    使用对象分类的对象规范化的方法和装置

    公开(公告)号：US07480414B2

    公开(公告)日：2009-01-20

    申请号：US10965298

    申请日：2004-10-14

    申请人： Lisa Marie Brown ,  Arun Hampapur ,  Ying-Li Tian ,  Chiao-Fe Shu ,  Andrew William Senior

    发明人： Lisa Marie Brown ,  Arun Hampapur ,  Ying-Li Tian ,  Chiao-Fe Shu ,  Andrew William Senior

    IPC分类号： G06K9/62

    CPC分类号： G06K9/3241 ,  G06K9/00362 ,  G06K9/00711 ,  G06K9/42

    摘要： Methods and apparatus are provided for normalizing objects across a plurality of image viewpoints. A set of classification results are obtained for a given object class across a sequence of images for each of a plurality of viewpoints. The classification results are each comprised of a position of one of the objects in the image, and at least one projected property of the object at that position. Normalization parameters are then determined for each of the viewpoints by fitting a high order model to the classification results to model a change in the projected property. The high order model may implement a least squares fit of a second order polynomial to the classification results. The normalization parameters may be used to compute normalized features and normalized training data for object classification.

    摘要翻译： 提供了用于在多个图像视点标准化对象的方法和装置。 对于多个视点中的每一个的图像序列，针对给定对象类获得一组分类结果。 分类结果各自包括图像中的一个对象的位置以及该位置处的对象的至少一个投影属性。 然后通过将高阶模型拟合到分类结果以对投影属性的变化进行建模来为每个视点确定归一化参数。 高阶模型可以对分类结果实施二阶多项式的最小二乘拟合。 归一化参数可用于计算归一化特征和归一化的对象分类训练数据。