Small and dim target detection based on motion integration in visual attention model

Abstract

In this article, the motion integration is firstly introduced into dim and small target detection in deep space background, and a target detection model which simulates human vision attention mechanism is designed. This model fully uses the sensitiveness of human vision with orientation and motion characteristics, and realizes the dim and small target detection through the saliency map produced by features integration. The experimental results indicate that the model is fit for kinds of working pattern of detection system for target detection conveniently.