Predicting future activities by examining past activities. The conditional random domain (CRF) was used to model the rich spatio-temporal relationship between human body posture and objects, and the movement was designed to obtain several possible future sub-activity graph structures from the temporal segmentation diagram of past sub-activities, and the effective dynamic programming was obtained by adding only feature approximation diagram, so as to predict future human activities.