There are some drawbacks in target detection using the technique of energy accumulation based on traditional dynamic programming algorithm (DPA). Those drawbacks include large energy distraction

slow detection speed and low detection probability. For solving the problems

an energy accumulation method of IR point target detection based on DPA is proposed. The weighted information entropy (WIE) attenuation factor and directional weights are imported into DPA recursive formula. WIE can reflect the targets’ moving information. When target exists in the searching window

accumulated energy decays a few which guarantees the larger energy accumulation and less energy distraction in the area of target track; Directional weights can reflect the moving direction of target and make the energy accumulate toward to the moving direction with a large probability. The experiment adopts 12 frames of image sequences with the average SNR of 2.1725. Compared with traditional DPA algorithm

by using the method proposed in this paper

accumulated energy reaches to the detecting threshold in the 5th frame with the Pd of 0.915. While using the traditional method

energy reaches to the threshold in the 9th frame with the Pd of 0.956. Results show that the method is able to reduce the area of energy distraction tremendously and increase the detecting probability and speed obviously.