Infrared small dim target detection based on region proposal

Abstract

This paper presents a fast detection method for infrared small dim target based on region proposal. Detection is divided into two parts: region proposal determination and target precise position extraction. First, potential target positions are extracted by a novel direction detection method based on stationary wavelet transform (SWT). Region proposal can be achieved by self-cross validation of the sequence of potential target positions. Based on the region proposal, a predictor-corrector algorithm is applied to obtain target precise position of current frame. Background prediction is acquired by a unified multi-scale temporal profile (UMTP) model with adaptive fusion and corrected by the 3σ criterion. Results show that the proposed method can preserve almost exactly the background while eliminating target pixels and has the ability to cope with multiple targets simultaneously. Based on the region proposal, real-time processing can be achieved.