Impact of Real-time Visual Attention on Computer Vision Products and Cognitive Robotics

被引：2

作者：

Vikram, Tadmeri Narayan ^{[1
]}

Tscherepanow, Marko ^{[1
]}

Wrede, Britta ^{[1
]}

机构：

[1] Univ Bielefeld, Res Inst Cognit & Robot, CoR Lab, D-33615 Bielefeld, Germany

来源：

PROCEEDINGS OF THE 2ND EUROPEAN FUTURE TECHNOLOGIES CONFERENCE AND EXHIBITION 2011 (FET 11) | 2011年 / 7卷

基金：

欧盟第七框架计划;

关键词：

Visual Attention; Saliency Map; Robotics; Eye-Gaze Predictions; Human-Robot Interaction;

D O I：

10.1016/j.procs.2011.09.059

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this article we explore the current avenues and future applications of visual attentional models that have a significant bearing on the fields of computer vision and cognitive robotics. Computational modelling of visual attention is among the active areas of research which are being pursued by diverse communities like computer science, systems biology, psychology and electrical engineering. An efficient model for visual attention is shown to have interesting applications to many real-life problems. We explore these ideas and point to some more plausible and useful applications of visual attention which could impact positively on our lives. (C) Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.

引用

页码：332 / +

页数：2