Multi-person 5D radar falling detection method and system based on artificial intelligence algorithm

The invention provides a multi-person 5D radar tumble detection method and system based on an artificial intelligence algorithm, and relates to a tumble detection technology, and the method comprises the steps: obtaining a plurality of pieces of radar echo information of a plurality of target objects in a target region based on a millimeter wave radar; extracting a plurality of motion features corresponding to the plurality of pieces of radar echo information through a preset echo feature extraction model; obtaining video information of a plurality of target objects in the target area based on an image sensor, determining a target area corresponding to the plurality of target objects in each frame of video information based on a target detector, matching the target area of each target object with the motion feature, and determining a comprehensive feature corresponding to each target object; and according to the comprehensive characteristics corresponding to each target object, determining the action type of