Research on the Top-down Visual Attention Method with Unknown Interference Target

Abstract

Visual attention can prior to allocate the limited processing resources to several salient regions of the image, which can increase the efficiency of the relevant intelligence applications. Based on differences between task features and image background features, key features of task target can be reasoned, feature channels of visual attention are filtered top-bottom. The top-down visual attention method with unknown interference target is proposed, in order to ensure the hit rate of target as far as possible to shorten the generation time of visual attention saliency map, to improve the computing efficiency of visual attention.