Dynamic image analysis is an interesting research field, and it is widely used in traffic monitoring, scene surveillance and warning forecast. Dynamic analysis of infrared imagery sequence has its character because of its high noise levels and low contrast.A dynamic infrared imagery analysis method based on knowledge representation and supervised learning is proposed. This algorithm can efficiently apply global modeling of sequential images to moving objects detection, pattern discrimination and behavior analysis in infrared imagery sequences.