Mean-Shift Based Multiple Targets Tracking for TWR

被引：0
作者：
Kong L.-J. [1 ]
Chen G.-H. [1 ]
Cui G.-L. [1 ]
Yang X.-B. [1 ]
机构：
[1] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2019年 / 48卷 / 03期
关键词：
Mean-shift; Multi-target tracking; Tracking in image domain; TWIR;
D O I：
10.3969/j.issn.1001-0548.2019.03.001
中图分类号：
学科分类号：
摘要：
This paper deals with the tracking problem of multiple human targets hidden behind walls using through-wall-imaging (TWI) radar. We propose a mean-shift based multi-target tracking algorithm in image domain. Firstly, an adaptive method of target template construction based on biaxial projection is presented. Secondly, the mean-shift algorithm is used to update the trajectories, and the different amplitudes is weighted in order to make the iterative process converge to the center of the target. The M/N logic is finally considered to manage trajectories. The proposed algorithm is evaluated by the experiments. © 2019, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
引用
收藏
页码：321 / 325
页数：4
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