Computer vision-based unmanned aerial vehicle target tracking box initialization method

The invention relates to the technical field of computer vision, discloses a computer vision-based unmanned aerial vehicle target tracking box initialization method, and solves the problem of interference due to the fact that an initial box contains excessive useless background information or influence on accuracy due to the fact that the initial box contains insufficient useful information, possibly caused by adoption of a mode of manually selecting the initial tracking box in a conventional technology. The method comprises the steps of performing adaptive amplification on the initial box to generate a filling box after a user manually selects the initial box, and generating a profile response graph of the filling box; then performing multi-size window sliding on the initial box in the filling box to generate windows with different sizes; and finally screening the windows, analyzing profile densities in different windows by utilizing an edge response graph of a digital image, performing score sorting, and se