Estimator identifier component for behavioral recognition system
    15.
    发明授权
    Estimator identifier component for behavioral recognition system 有权
    用于行为识别系统的估计器标识符组件

    公开(公告)号:US08175333B2

    公开(公告)日:2012-05-08

    申请号:US12208526

    申请日:2008-09-11

    IPC分类号: G06K9/00

    CPC分类号: G06F15/16

    摘要: An estimator/identifier component for a computer vision engine of a machine-learning based behavior-recognition system is disclosed. The estimator/identifier component may be configured to classify an object being one of two or more classification types, e.g., as being a vehicle or a person. Once classified, the estimator/identifier may evaluate the object to determine a set of kinematic data, static data, and a current pose of the object. The output of the estimator/identifier component may include the classifications assigned to a tracked object, as well as the derived information and object attributes.

    摘要翻译: 公开了一种基于机器学习的行为识别系统的计算机视觉引擎的估计/标识符组件。 估计器/标识符组件可以被配置为将作为两个或更多个分类类型之一的对象进行分类,例如,作为车辆或人。 一旦分类,估计器/标识符可以评估对象以确定一组运动学数据,静态数据和对象的当前姿态。 估计器/标识符组件的输出可以包括分配给跟踪对象的分类以及派生的信息和对象属性。

    Adaptive update of background pixel thresholds using sudden illumination change detection
    17.
    发明授权
    Adaptive update of background pixel thresholds using sudden illumination change detection 有权
    使用突然照明变化检测自适应更新背景像素阈值

    公开(公告)号:US08285046B2

    公开(公告)日:2012-10-09

    申请号:US12388409

    申请日:2009-02-18

    IPC分类号: G06K9/34

    CPC分类号: G06K9/00771

    摘要: Techniques are disclosed for a computer vision engine to update both a background model and thresholds used to classify pixels as depicting scene foreground or background in response to detecting that a sudden illumination changes has occurred in a sequence of video frames. The threshold values may be used to specify how much pixel a given pixel may differ from corresponding values in the background model before being classified as depicting foreground. When a sudden illumination change is detected, the values for pixels affected by sudden illumination change may be used to update the value in the background image to reflect the value for that pixel following the sudden illumination change as well as update the threshold for classifying that pixel as depicting foreground/background in subsequent frames of video.

    摘要翻译: 公开了用于计算机视觉引擎的技术,用于更新背景模型和用于将像素分类为描绘场景前景或背景的阈值,以响应于检测到在视频帧序列中已经发生突然的照明变化。 可以使用阈值来指定给定像素在分类为描绘前景之前可能与背景模型中的对应值不同的像素。 当检测到突然的照明变化时,可以使用受突然照明改变影响的像素的值来更新背景图像中的值,以反映在突然照射变化之后该像素的值,并且更新用于对该像素进行分类的阈值 作为描绘后续视频帧中的前景/背景。

    ADAPTIVE UPDATE OF BACKGROUND PIXEL THRESHOLDS USING SUDDEN ILLUMINATION CHANGE DETECTION
    18.
    发明申请
    ADAPTIVE UPDATE OF BACKGROUND PIXEL THRESHOLDS USING SUDDEN ILLUMINATION CHANGE DETECTION 有权
    使用SUDDEN ILLUMINATION CHANGE DETECTION的背景像素阈值的自适应更新

    公开(公告)号:US20100208986A1

    公开(公告)日:2010-08-19

    申请号:US12388409

    申请日:2009-02-18

    IPC分类号: G06K9/62

    CPC分类号: G06K9/00771

    摘要: Techniques are disclosed for a computer vision engine to update both a background model and thresholds used to classify pixels as depicting scene foreground or background in response to detecting that a sudden illumination changes has occurred in a sequence of video frames. The threshold values may be used to specify how much pixel a given pixel may differ from corresponding values in the background model before being classified as depicting foreground. When a sudden illumination change is detected, the values for pixels affected by sudden illumination change may be used to update the value in the background image to reflect the value for that pixel following the sudden illumination change as well as update the threshold for classifying that pixel as depicting foreground/background in subsequent frames of video.

    摘要翻译: 公开了用于计算机视觉引擎的技术,用于更新背景模型和用于将像素分类为描绘场景前景或背景的阈值,以响应于检测到在视频帧序列中已经发生突然的照明变化。 可以使用阈值来指定给定像素在分类为描绘前景之前可能与背景模型中的对应值不同的像素。 当检测到突然的照明变化时,可以使用受突然照明改变影响的像素的值来更新背景图像中的值,以反映在突然照射变化之后该像素的值,并且更新用于对该像素进行分类的阈值 作为描绘后续视频帧中的前景/背景。

    Foreground object tracking
    19.
    发明授权
    Foreground object tracking 有权
    前景对象跟踪

    公开(公告)号:US08374393B2

    公开(公告)日:2013-02-12

    申请号:US13545950

    申请日:2012-07-10

    IPC分类号: G06K9/00

    摘要: Techniques are disclosed for detecting foreground objects in a scene captured by a surveillance system and tracking the detected foreground objects from frame to frame in real time. A motion flow field is used to validate foreground objects(s) that are extracted from the background model of a scene. Spurious foreground objects are filtered before the foreground objects are provided to the tracking stage. The motion flow field is also used by the tracking stage to improve the performance of the tracking as needed for real time surveillance applications.

    摘要翻译: 公开了用于检测由监视系统捕获的场景中的前景物体并且实时地从帧到帧跟踪检测到的前景物体的技术。 运动流场用于验证从场景的背景模型中提取的前景对象。 在将前景对象提供给跟踪阶段之前,会对前景对象进行过滤。 跟踪阶段还使用运动流场来提高实时监控应用所需的跟踪性能。