With the development of drive systems and sensor technology, the application field of photoelectric tracking system is expanding. The target tracked by the system has also expanded from the traditional target to the new type of target. Traditional targets have the characteristics of high altitude, long distance, fast speed and strong movement rules. The characteristics of the new type of target are low altitude, short distance, slow speed and weak movement law. Faced with the new type of target, the photoelectric tracking system needs to consider further upgrading the tracking technology to improve the tracking ability of the system. Feed-forward control is an effective means to improve the tracking ability of the system. The key of feed-forward control is to obtain real-time and accurate target motion state, but the image sensor that detects the target generally has a time delay that cannot be ignored. Therefore, the research direction of photoelectric tracking technology based on predictive filtering has been formed. This paper reviews the current mainstream four photoelectric tracking technologies based on predictive filtering, and compares the performance of these four methods from the frequency domain and time domain through simulation experiments. Then, the advantages and disadvantages of these four methods are summarized. Finally, the future research direction of this technology is pointed out.