KONG Ling-jiang, CHEN Guo-hao, CUI Guo-long, YANG Xiao-bo. Mean-Shift Based Multiple Targets Tracking for TWR[J]. Journal of University of Electronic Science and Technology of China, 2019, 48(3): 321-325. DOI: 10.3969/j.issn.1001-0548.2019.03.001
Citation: KONG Ling-jiang, CHEN Guo-hao, CUI Guo-long, YANG Xiao-bo. Mean-Shift Based Multiple Targets Tracking for TWR[J]. Journal of University of Electronic Science and Technology of China, 2019, 48(3): 321-325. DOI: 10.3969/j.issn.1001-0548.2019.03.001

Mean-Shift Based Multiple Targets Tracking for TWR

  • 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 dzkjdxxb-48-3-321 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.
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