Dynamic Programming Track-Before-Detect Algorithm Based on Saliency Map for Infrared Dim and Small Target

Aiming at the problem of the high false alarm rate of detecting dim and small targets in the infrared image with low signal-to-noise ratio and complex background, a saliency map based dynamic programming track-before-detect algorithm is proposed. An improved difference of local region operator is used to extract the saliency map in this algorithm. A novel search strategy is designed according to the attention transfer mechanism. In addition, the search range is updated in real time by utilizing the speed of the target. The algo- rithm processes the multi-frame continuous saliency maps to realize infrared dim and small target detection. Experiment results indicate that the algorithm can reduce false alarm rate and improve detection performance in less time.