Abstract: The infrared dim-small target has a small portion of image pixel and low SNR, which makes it difficult to detect and track the target especially in noise and clutter. A dim-small target tracking method with fixed template sliding confidence constraint, on the basis of the fast adaptive median filter to suppress the infrared background, is presented. A prediction of trajectory with orthogonal transformation and confidence region is proposed. Weighted parameters are used to enhance the convergence of target function and the prediction accuracy of the next position. The size of sliding search window is calculated from the position difference of the adjacent points on trajectory to search the matched feature point with the predicted position in the next frame and make further parallel processing. The trajectory sliding confidence is used to verify the authenticity of trajectory and update the target trajectory for accurate tracking. The proposed algorithm is tested with infrared dim-small target video. The results show that the proposed method shows better performance in target tracking with lower mean square error deviation and mean square error. Furthermore, the good performance of noise elimination and image information protection also verifies the effectiveness of the algorithm. Key

Key words: informationprocessingtechnology, infrareddim-smalltarget, targetdetection, targettracking, backgroundsuppression