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Because the infrared long-range target to be detected has detection difficulties such as small size, low radiation and complex background, infrared small target detection with high detection rate, low false alarm rate and high real-time performance has always been a challenging subject. In this paper, a variable speed moving target cumulative detection algorithm based on local saliency is proposed, which uses the radiant energy accumulation method to improve the signal-to-noise ratio of the target in the background. Firstly, the vector space and first derivative space are established to enhance the local contrast of each frame of the sequence image based on block saliency, enhance the target radiation energy and suppress the background, and significantly reduce the amount of calculation. Then, the radiation energy of variable speed motion space and derivative vector space is superimposed, and the existence probability of the motion features of the target in the sequence image in the vector space and derivative vector space is detected in the space vector and derivative vector space. Finally, through CFAR detection, the position vector, velocity and acceleration vector of the target are obtained to complete the target detection. The experimental results verify the effectiveness of the proposed method, and its detection rate and false alarm rate are better than other methods. The signal to clutter ratio gain is increased by 22.30, the background suppression factor is increased by 3775.68, and the processing time overhead is reduced by 0.65 seconds.