Abstract: The moving target recognition and tracking in the military and industry has a broad application prospects. The typical tracking methods are correlation matching algorithm, optical flow algorithm, motion-based contour algorithm, and so on. The typical identification methods include: template matching target recognition method, similarity measure based identification method, genetic algorithm based target recognition algorithm, and so on. This paper presents a neural network based identification and tracking method, and studies the identification and tracking of moving target simulation model and the realization method.

Key words: target identification, target tracking, simulation