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针对自动寻的导弹玫瑰扫描目标跟踪方法中由于扫描过程非线性引起的目标采样非线性,导致求取目标重心算法的运算量和计算误差大等问题,提出了一种基于格林公式的、新的求取目标重心的边界重心法,该方法仅使用目标边界上的采样点。通过对运算量和计算误差的理论分析,与现有的权重重心法相比,本方法可以有效解决采样不均匀的问题,同时运算量减少了90%,误差仅为权重重心法的下界。另外,本方法也可用于基于图像信息的凝视目标跟踪等类似算法中来提高跟踪准确性及运算速度。
In order to solve the problem of large computational complexity and large computational error of the target centroid algorithm, aiming at the problem that the target sampling nonlinearity caused by the non-linearity of the scanning process in the auto-search Rose scanning target tracking method, a new Find the center of gravity of the target’s center of gravity method, which uses only the sampling points on the target boundary. Through the theoretical analysis of computation and calculation error, compared with the existing weighted centroid method, this method can effectively solve the problem of non-uniform sampling, while the computational complexity is reduced by 90% and the error is only the lower bound of the weighted centroid method. In addition, the proposed method can also be used to improve tracking accuracy and computing speed based on image information such as gaze target tracking and other similar algorithms.