To meet the special demands of airborne electro-optical tracking system for rapid recognition and accurate positioning, a fast identification and location algorithm is required. Through the in-depth characteristics analysis of continuous images sequence and airborne electro-optical tracking system and integrated with variation and movement information of precision turntable, an image processing algorithms is put forward based on the information corner. On the basis of the corner variation information of precision turntable, we obtain the margin target residual map through difference computing among a row of multi-frame image sequence. Combing with the median filtering and adaptive gate tracking algorithm, we multiply the residual map to remove most random noise. The method can greatly reduce the computing capacity and achieve the objectives of fast tracking of moving targets. Result of target image sequence test shows that the algorithm is fast and stable and thus can meet the requirements of the airborne electro-optical tracking system for tracking real-time image.