An interactive multiple model particle filter algorithm needs several models to track the strong maneuvering target, and the resampling of particle filter will lead to the impoverishment phenomenon of particles, therefore, a new kind of tracking the maneuvering target is proposed. The algorithm firstly introduces attraction and moving mechanism of glowworm group into the particle filter, and then introduce the improved particle filter into the interactive multiple model to enhance its tracking precision and stability by intelligent optimization means. Experimental results show, compared with IMM-PF, the improved method can waste less time to reach the same level of precision, and to enhance the tracking performance for maneuvering target.