The invention discloses a world coordinate
system human body motion trail prediction method and related equipment, and the method comprises the steps: firstly obtaining
human body posture parameters and
direction information under a camera coordinate
system through a
human body posture
estimation network, and converting the human
body posture parameters and
direction information into self-center representation; then, an innovative conditional
diffusion model is adopted to carry out probability modeling on the human body track, and global displacement and rotation parameters are predicted; and finally, carrying out physical optimization correction based on the contact state of the
tail end
joint point to ensure the naturalness of the motion. The invention further provides an efficient long
sequence processing strategy, and the input sequence of any length is processed through overlapping window segmentation and progressive fusion. By introducing the probability
diffusion model and the physical constraint optimization, the problem of uncertainty of
human motion reconstruction in a dynamic camera scene is effectively solved, and meanwhile, the trajectory reconstruction precision and the physical rationality are remarkably improved. The method can be widely applied to the fields of
computer animation,
virtual reality and the like, and has important practical value.