Provided is a target tracking method applicable to tracking of a target in a video and capable of reducing tracking errors caused when a target is blocked. The method comprises: inputting a captured video of a target object into a pre-trained neural network model; acquiring motion channels of the target object; connecting the motion channels; and obtaining a tracking path of the target object, the tracking path comprising location information of the target in each video frame of the first video.