The invention discloses a method for dividing TVS events into clusters based on optical flow analysis. The method divides the TVS events into clusters by computing the optical flows of the TVS events, extracts the accurate position and the shape information of a moving target according to the information of the clusters, and is characterized by acquiring the optical flow speed of each spot by analyzing the optical flows event by event, further dividing the events into clusters according to the similarity of speed, positions, and output time, and dynamically updating pre-existing events in the clusters according to cluster speed. The method divides the TVS events into clusters according to the generated time, the spatial position, and the optical flow speed of the events, and has advantages that the combination between a characteristic that spatial moving targets have same projection speed on a 2D imaging plane and space-time similarity may solves overlapping and shielding problems of the targets so as to achieve higher accuracy; and cluster speed may update the pre-existing events in the clusters.