Stochastic Human Motion Prediction

Stochastic Human Motion Prediction is a subtask in the field of computer vision that aims to predict multiple possible future states of human motion through generative models, rather than a single deterministic outcome. This task takes into account the randomness and uncertainty of future movements, capable of generating N possible future motion trajectories, thereby providing more robust and flexible predictive capabilities in applications such as human-computer interaction, virtual reality, and intelligent surveillance.