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Moving target detection method using two-frame subtraction and a two quadrant multiplier

机译:利用两帧减法和两象限乘法器的运动目标检测方法

摘要

A method and apparatus for detecting an object of interest against a cluttered background scene. In a first preferred embodiment the sensor tracking the scene is movable on a platform such that each frame of the video representation of the scene is aligned, i.e., appears at the same place in sensor coordinates. A current video frame of the scene is stored in a first frame storage device (14) and a previous video frame of the scene is stored in a second frame storage device (20). The frames are then subtracted by means of an invertor (24) and a frame adder (28) to remove most of the background clutter. The subtracted image is put through a first leakage reducing filter, preferably a minimum difference processor filter (32). The current video frame in the first frame storage device (14) is put through a second leakage-reducing filter, preferably minimum difference processor filter (36). The outputs of the two processors are applied to a two quadrant multiplier (42) to minimize the remaining background clutter leakage and to isolate the moving object of interest. In a second preferred embodiment the sensor does not track the scene and therefore the frames of video from the two storage devices (140, 200) must be aligned before the subtraction process can occur. The alignment function is performed by a background registration correlator (150) and a frame shifter (130). Once the two frames of video data are aligned they are then subtracted and preferably applied to the minimum difference processor filters (320, 360) as with the first embodiment. The outputs of the two minimum difference processors (320, 360) are again applied to a two quadrant multiplier (420) to eliminate the remaining background clutter. IMAGE
机译:一种用于针对杂乱的背景场景检测感兴趣对象的方法和设备。在第一优选实施例中,跟踪场景的传感器可在平台上移动,使得场景的视频表示的每个帧对齐,即,在传感器坐标中出现在同一位置。场景的当前视频帧存储在第一帧存储设备(14)中,场景的先前视频帧存储在第二帧存储设备(20)中。然后通过反相器(24)和帧加法器(28)将帧相减,以去除大部分背景杂波。将相减后的图像通过第一减少泄漏的滤波器,最好是最小差处理器滤波器(32)。第一帧存储设备(14)中的当前视频帧通过第二减少泄漏的滤波器,优选地最小差处理器滤波器(36)。将两个处理器的输出施加到两个象限乘法器(42),以最小化剩余的背景杂波泄漏并隔离感兴趣的运动对象。在第二优选实施例中,传感器不跟踪场景,因此来自两个存储设备(140、200)的视频帧必须在减法过程发生之前对准。对准功能由背景配准相关器(150)和移帧器(130)执行。一旦将视频数据的两个帧对齐,则与第一实施例一样,将它们相减并优选地应用于最小差处理器滤波器(320、360)。将两个最小差处理器(320、360)的输出再次施加到两个象限乘法器(420),以消除剩余的背景杂波。 <图像>

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