Automatic target recognition (ATR) is an area in which there has been significant research. One of the problems of ATR is classification confidence as objects may be mobile and change their poise. The 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 range infra-red) and results show that the FST classifier can provide additional valuable information to the ATR process. Future enhancements of the FST classifier are also discussed.
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