the object allowing the raw pixel data to be extracted. Automatic Target Recognition (ATR) is an area in whichthere has been significant research. One of the problems of ATR is classificatioa confidence as objects may be mobile and change their poise. This paper describes the use of the Feature Space Trajectory (FST) classifier to determine both the class and poise of objects. Investigations have been carried out using both synthetic and real data (long ransie infra-red) and results show that the FST classifier con provide additional valuable information to the ATR process. Future enhancements of the FST classifier are aiio discussed.