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Method for detecting and tracking moving objects in a digital image sequence having a stationary background

机译:在具有固定背景的数字图像序列中检测和跟踪运动对象的方法

摘要

A method for detecting and tracking moving objects in a digital image sequence having a stationary background by comparing the image sequence to a calculated background image sequence, whereby a sequence of binary object masks is calculated whose segments reproduce the shapes and positions of the moving subjects, and whereby the motion vectors of the moving objects are calculated by matching these segments. Also, a sequence of background images is calculated by spatially selective and time recursive averaging of the input image sequence in which the moving objects are not contained but in which other modifications of the background that are not caused by moving objects are contained. Further, a sequence of binary object masks is calculated by binarization of the difference image sequence from the input image sequence and the background image sequence using a threshold whose value is used for controlling the spatial selectivity in the calculation of the background image sequence and whose segments are determined together with their sizes and center of gravity positions. Finally, motion vectors of the detected objects are determined by minimization of the squared gray scale value differences averaged over the intersection of the shifted mask segments, whereby differences between the center of gravity vectors of corresponding segments are utilized as start vectors in 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固定背景的数字图像序列中的运动对象的方法,从而计算出二进制对象遮罩序列,其片段再现了运动对象的形状和位置,并且通过匹配这些片段来计算运动对象的运动矢量。另外,通过对输入图像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,在该输入图像序列中不包含运动物体,但是其中包含背景的其他非运动物体引起的修改。此外,通过使用阈值对来自输入图像序列和背景图像序列的差异图像序列进行二值化来计算二值目标掩模的序列,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,并且其分段确定它们的大小和重心位置。最后,通过最小化在移位的掩模段的交点上求平均值的平方灰度值差来确定检测到的对象的运动矢量,从而将相应段的重心矢量之间的差用作最小化中的起始矢量。

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