The invention relates to the technical field of intelligent monitoring equipment, in particular to a
radar point cloud target detection
system and method based on multi-
modal space-time fusion. Comprising the following steps: at least two
radar transceivers synchronously collect echo signals of a target at different visual angles, and establish a three-dimensional coordinate
system; based on the three-dimensional coordinate
system of the target points, the target points of each time slice are clustered, a coordinate set of
point cloud clustering is obtained, and whether the
point cloud gravity center of each detection target is displaced or not is judged; if the detected target is displaced, capturing a space trajectory of a target point based on the
barycentric coordinates, and performing
gait analysis on the detected target; and if the detection target does not displace, judging the
body posture of the detection target. The method has the
advantage of low cost, reliable
radar point cloud can be realized, the defects that the traditional point cloud needs multi-antenna
MIMO and the cost is high are overcome, body point
cloud modeling in the walking process is realized, meanwhile, posture body point cloud and vital sign data are jointly verified, and the reliability is enhanced.