关键词: 目标跟踪, 高斯混合势概率假设密度（GM-CPHD）滤波, 航迹&mdash, 估计关联, 拉格朗日插值

Abstract: The error of the target number estimated in the Gaussian mixture cardinalized probability hypothesis density filter is large at the presence of low detection rate. Addressing at this problem, a post-processing algorithm for the GM-CPHD filter based on track-estimate association is presented. Distance matrix between tracks and estimates is calculated, and track-estimate association is done via Hungarian assignment algorithm. A threshold for track continuity is engaged to prune some short tracks, and then some wrong estimates are deleted. Moreover, Lagrange interpolation method is employed to deal with the discontinuous tracks and the corresponding estimates of missing targets are compensated. The experimental results show that the post-processing algorithm can improve the accuracy of the estimated target number effectively.

Key words: target tracking, Gaussian mixture cardinalized probability hypothesis density filter, track-estimate association, Lagrange interpolation