Abstract: System (1) for characterizing motion of at least one individual forming a target, comprising a radar emitting electromagnetic signals towards the target and receiving echoed signals, 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 probability density estimation of the state of a target, state means a vector of properties from a target, referred to as state vector, the system being characterized in that said state vector comprises at least one discrete target gait classification variable determining one target gait model among a set of determined target gait models, and a set of discrete and/or continuous motion parameters, the characterizing means comprising estimation means estimating the probability density of said state vector from said spectrogram.

Abstract: System (1) for characterizing motion of at least one individual forming a target, comprising a radar emitting electromagnetic signals towards the target and receiving echoed signals, 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 probability density estimation of the state of a target, state means a vector of properties from a target, referred to as state vector, the system being characterized in that said state vector comprises at least one discrete target gait classification variable determining one target gait model among a set of determined target gait models, and a set of discrete and/or continuous motion parameters, the characterizing means comprising estimation means estimating the probability density of said state vector from said spectrogram.