Small Moving Target Detection in Super Field Infrared Image Sequences

摘要

The Infrared Search and Track System(IRST), coupled with single super field infrared fish-eye lens, is a breakthrough in the infrared warning technology and it has many merits. In this paper, the characteristic of the super field infrared background is analyzed, which is different from that of the small field. An improved method named ' area maximization background model' is used to suppress the background and the signal-to-noise ratio(SNR) is increased. Then, together with frame correlation technology the target is detected in the end. After experiment it is shown that this method is reliable to detect small moving target in super field infrared image sequences.