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    • 99. 发明公开
    • System for characterizing motion of an individual, notably a human individual
    • 系统为个人的运动,特别是人类个体的识别
    • EP2589979A1
    • 2013-05-08
    • EP11187766.8
    • 2011-11-03
    • Thales Nederland B.V.
    • Groot, StephanDRIESSEN, HansHARMANNY, Ronny
    • G01S7/41G01S13/88G01S13/04G01S13/56
    • F28F9/00G01S7/415G01S13/04G01S13/56G01S13/886
    • System (1) for characterizing motion of at least one individual forming a target, comprising a radar emitting pulses of electromagnetic signals towards the target and receiving echoed pulses, output as radar data, preprocessing means (11) receiving radar data as input and outputting a spectrogram representing time variations of the Doppler spectrum of the radar data, characterizing means (13) configured for outputting a state vector of the target, the system being characterized in that said state vector comprises at least one target gait classification variable determining one target gait among a set of determined gait models, and a set of motion parameters, the characterizing means comprising a particle filter (15) estimating said state vector from said spectrogram, on the basis of one known individual model among a set of known individual models as a function of said target gait classification variable value, and radar means model.
    • 系统(1)用于形成目标表征运动的至少一个个体的方法,包括一个雷达发射朝向目标的电磁信号的脉冲和接收呼应脉冲,作为雷达数据输出,预处理装置(11)接收的雷达数据作为输入,并输出廷 配置用于输出铃声的目标状态矢量表示所述雷达数据的多普勒频谱的时间变化谱图,表征装置(13),所述系统的特征在于,所述状态向量至少包括一个目标步态分类变量确定性采矿一个靶之间的步态 一组确定性开采步态模式,和一组运动参数,所述表征装置包括一个微粒过滤器(15)从所述频谱估计所述状态向量,一个公知的一组已知单独的模型作为函数之间的个体模型的基础上 所述步态分类变量值的目标和雷达手段模型。