A simplifying method of vision attention simulating human vision in machine vision system

In recent years, research of human vision attention opens a new field for machine vision. A novel and simplified model including saccade and gaze is presented in this paper, which simulates human vision attention. An efficient algorithm is proposed for extracting simple features in global scene and extracting candidate features in local saliency region so as to reduce computational cost. This simplified method is very reliable in some cases of machine vision system and is nearly equivalent to that obtained from human vision attention.