Weak and small target detection is a crucial problem in infrared technology Facing the problems of losing weak/small target in single threshold segmentation and insufficient energy accumulation for fast-moving targets in the target detection of infrared image sequence

a new method based on multi-threshold classification and backward verification has been proposed in this paper After background suppression

an adaptive multi-threshold classification is adopted for the extraction of multi-class candidates

which has enhanced the capability of weak and small targets extraction When the candidate in the current frame can not be justified due to its weakness and movement

a kind of spatial-temporal pipeline will be constructed according to the candidate’s movement in adjacent frames

and a backward search will be carried out for possible existence of any kinds of candidate After that

the energies of these candidates will be weighted accumulated with that of the candidate in the current frame and justified with a fixed energy threshold In the end of this paper

some experimental and comparison results using real infrared image sequences will be given to show the effectiveness of this new method