In order to simulate forward looking infrared seeker′s matching guidance process, an acceleration strategy aiming at the contrast-limit adaptive histogram equalization and the normalization cross correlation algorithms was researched to realize realtime target tracking judgment. The real-time processing acceleration strategy of foggy images based on CUDA(compute unified device architecture) was proposed. The final real-time graph preprocessing acceleration schema implements two main design parameters′ optimization, including blocksize and blockgrid. Experimations show that using CUDA acceleration schema, the work efficiency is 5~20 times faster than the original algorithm. The proposed acceleration schema can satisfy the realtime target tracking judgment and can provide references to researchers devoted to the related work.