计算机与现代化 ›› 2010, Vol. 1 ›› Issue (8): 92-94.doi: 10.3969/j.issn.1006-2475.2010.08.026

• 应用与开发 • 上一篇    下一篇

基于视觉选择性注意机制的目标检测的研究

韦灵丽1,李翠彬2   

  1. 1.肇庆工业贸易学校,广东 肇庆526060;2.河北工业大学,天津 300401
  • 收稿日期:2010-04-16 修回日期:1900-01-01 出版日期:2010-08-27 发布日期:2010-08-27

Object Detection Based on Visual Selective Attention Mechanism

WEI Ling-li1, LI Cui-bin2   

  1. 1.Zhaqing Industry & Trade Vocational School, Zhaoqing 526060, China; 2.Hebei University of Technology, Tianjin 300401, China
  • Received:2010-04-16 Revised:1900-01-01 Online:2010-08-27 Published:2010-08-27

摘要: 视觉选择性注意模型的应用是当今认知信息处理领域的研究热点。根据人类视觉感知理论,在介绍具有代表性的视觉注意模型(Itti模型)的基础上,在特征提取的初级阶段引入新的低层视觉特征,形成一种新的引导注意的显著图,从而实现较为准确的目标检测。结果证明该方法在一定程度上避免了漏检测现象的发生,使得注意区域更能接近生物视觉系统的实际。

关键词: 视觉选择性注意, 显著图, 目标检测

Abstract: The paper puts forward two ways to improve the speed and quality of designing program. The text box, label, picture box and so on can be recognized automatically by programs and can be printed by the program for controls to realize automation of printing. It also introduces practical technique of print preview and realizes printing of complicated forms.

Key words: visual selective attention, saliency map, target detection