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Detection and tracking process of moving objects in a sequence of digital images with moving background

机译:具有运动背景的数字图像序列中运动物体的检测和跟踪过程

摘要

A method for detecting and tracking moving objects in digital image sequence having unmoved background by comparing the image sequence with a calculated background image sequence in which a sequence is calculated from the binary object masks whose segments reflect the shapes and positions of the moving objects, and by matching these segments the motion vectors of the moving objects are determined. In addition, a sequence of background images is calculated by spatially selective and temporal recursive averaging the input picture sequence, are not included in the moving objects, however, other changes of the background that are not caused by moving objects are included. Furthermore, a sequence of binary object masks by binarizing the differential image sequence from the input image sequence and the background image sequence is calculated using a threshold whose value is used to control the spatial selectivity in the calculation of the background image sequence and the segments are determined along with their sizes, and center of gravity. Finally, motion vectors of the detected objects are determined by minimizing the above the intersection of the shifted mask segments averaged squared gray value differences, the differences of the centroid vectors corresponding segments are used as starting vectors for the minimization.
机译:一种通过将图像序列与计算出的背景图像序列进行比较来检测和跟踪具有静止背景的数字图像序列中的运动对象的方法,在该计算出的背景图像序列中,从其片段反映运动对象的形状和位置的二进制对象掩模中计算出序列,以及通过匹配这些片段,确定运动对象的运动矢量。另外,通过对输入图片序列进行空间选择性和时间递归平均来计算背景图像序列,该背景图像序列不包括在运动物体中,但是,还包括不是由运动物体引起的背景的其他变化。此外,通过使用阈值来计算二进制图像蒙版序列,该二进制对象蒙版序列是将来自输入图像序列和背景图像序列的差分图像序列进行二值化,该阈值的值用于控制背景图像序列的计算中的空间选择性,并且片段为确定它们的大小和重心。最后,通过最小化上述移位的掩模段的相交的平均平方灰度值差来确定被检测物体的运动矢量,将对应段的质心矢量的差用作最小化的起始矢量。

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