Abstract: The present disclosure provides a method and a device for target tracking. The method includes: obtaining a primary forecasting model and a verification model of a target, the primary forecasting model containing low-level features of the target and the verification model containing high-level features of the target; obtaining a current frame of a video image and determining a tracking region of interest (ROI) and a motion-confining region in the current frame based on a latest status of the target, wherein the tracking ROI moves in accordance to a movement of the target; forecasting a status of the target in the current frame in the tracking ROI based on the primary forecasting model; and determining a target image containing the target based on the status of the target in the current frame. The method further includes extracting high-level features of the target from the target image.