Aiming at the problem of wide-range occlusion of target pedestrians in video pedestrian re-identification, a pedestrian re-identification algorithm based on spatio-temporal trajectory fusion is proposed by combining pedestrian trajectory prediction with pedestrian re-identification, which is time-related and not affected by occlusion. First, from the time and space domains, accurate pedestrian trajectory coordinate prediction in line with social attributes is realized. Second, the spatiotemporal trajectory fusion feature is constructed to effectively combine the apparent visual features in the video sequence with the coordinate data in the pedestrian trajectory, which effectively alleviates the impact of centralized occlusion on the re-identification performance. Finally, a trajectory fusion dataset MARS_traj suitable for the proposed algorithm is constructed, and experiments show that the proposed algorithm can effectively improve the performance of the occlusion video re-identification.