Group target density dynamic change detection method based on Archimedes spiral

The invention discloses an Archimedes spiral-based group target density dynamic change detection method, which comprises the following steps of: (1) dividing a group target into a plurality of frames, and reading coordinate data and category identification information data of the first frame of group target; (2) setting a preset threshold value, and dividing the frame group target into a red group target data set and a blue group target data set; (3) respectively dividing the red party group target data set and the blue party group target data set into a plurality of subgroups; (4) calculating to obtain respective Archimedes spiral coefficients of all subgroups; (5) acquiring coordinate data of a next frame of group target, repeating the step (4), and acquiring respective Archimedes spiral coefficients of all subgroups in the frame; (6) repeating the step (5) until the Archimedes spiral coefficients of all the subgroups in all the frames are obtained; and (7) analyzing the density change of each subgroup amon