Previous infrared laser imaging target tracking methods have poor tracking performance due to only extracting a single feature of the infrared laser imaging target. Therefore, an infrared laser imaging target tracking method based on artificial intelligence technology was designed. By using infrared laser imaging equipment, a large amount of target data is obtained and corrected to construct an infrared laser imaging target model. With the help of artificial intelligence technology, multiple features such as shape, edge, and texture of the infrared laser imaging target are extracted, and feature similarity is calculated. The extracted features are matched with candidate features, and the mean shift of the features is calculated, Determine the position of the infrared laser imaging target. Through the above design, complete the design of the infrared laser imaging target tracking method. The experimental test results show that the tracking robustness of the proposed method can reach 99.11%, the EAO can reach 99%, and the infrared laser imaging target tracking effect is good.