机器人2009，Vol.31Issue(6)：574-580,7.
视觉选择性注意计算模型
Computational Model of Visual Selective Attention
摘要
Abstract
A new computational model of visual attention for intelligent robots is proposed. Motivated by biology, this model simulates both the bottom-up and top-down human visual selective attention mechanisms. By extracting multiple low-level features of the input image with multiple scales and analyzing the amplitude spectra of these feature maps in frequency domain, the corresponding saliency map is constructed in spatial domain. Based on the saliency map, the position and size of potential focuses of attention are computed. According to the given target, attention is changed among the focuses of attention. The model is tested on many natural images. Experiment results and qualitative and quantitative analysis are presented. The proposed results are consistent with human visual attention results. It is indicated that this model is effective in attention effect and computational speed.关键词
视觉注意/显著图/显著区域/注意焦点Key words
visual attention/ saliency map/ salient region/ focus of attention分类
信息技术与安全科学引用本文复制引用
张巧荣,顾国昌,肖会敏..视觉选择性注意计算模型[J].机器人,2009,31(6):574-580,7.基金项目
国家自然科学基金资助项目(60774041). （60774041）
