Aiming at the occlusion problem in the current video multi-target tracking process, a multi-target detection and tracking algorithm combining YOLO v3 is proposed. The framework based on detection tracking is selected as the overall framework for tracking, and YOLO v3 is used to detect the target information. Based on the selected detection category, the proposed tracking algorithm is used to complete the multi-target tracking of this category through data association. Aiming at the problems of target occlusion in the tracking process and abnormal trajectory tracking caused by target occlusion, a correction algorithm is proposed. Most of the occluded targets in the test video can be accurately tracked in the experiment, but some target identity swaps will occur when the background moves. The proposed algorithm has certain accuracy and real-time performance in solving the occlusion problem in multi-target tracking.