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视觉注意力检测技术研究综述 被引量:2

Research on Visual Focus of Attention Detection Technology:A Review
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摘要 近年来,为实现服务机器人智能人性化的人机交互、用户认知障碍诊断等,视觉注意力(Visual Focus of Attention,VFOA)检测技术已成为国内外的热点研究课题。重点分析了该技术的流程及相关方法实施细节,给出了目前VFOA检测研究时使用到的数据集情况,并对视觉注意力检测技术的应用场景进行了梳理。通过对当前视觉注意力检测系统优缺点的分析,指出了该技术的研究难点与未来研究方向。 In recent years,in order to solve the problems of the intelligently humanized human-robot interaction in service robots,cognitive disorder diagnosis,etc.,visual focus of attention(VFOA)detection technology was proposed,which has become a hot research topic at home and abroad.In this paper,the process and realization methods of this technology are analyzed and evaluated firstly.Then,the data sets used in current VFOA detection researches are summarized.Thirdly,the application scenarios of VFOA detection technology are sorted out. Based on analyzing the advantages and disadvantages about the VFOA detection system,the technical difficulties are pointed out,and the development trends are forecasted.
作者 罗元 陈雪峰 毛雪峰 张毅 LUO Yuan;CHEN Xuefeng;MAO Xuefeng;ZHANG Yi(Institute of Photoelectric Engin.,Chongqing University of Posts and Telecommunications,Chongqing 400065,CHN;Engin.Research Center for Information Accessibility and Service Robots,Chongqing University of Posts and Telecommunications,Chongqing 400065,CHN)
出处 《半导体光电》 CAS 北大核心 2019年第1期1-8,共8页 Semiconductor Optoelectronics
基金 国家自然科学基金项目(61705028)
关键词 图像处理 视觉注意力检测 视线估计 机器视觉 人机交互 image processing VFOA gaze estimation machine vision human-robot interaction
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  • 1李素梅,张延,常胜江,申金媛,李宜宾,王立.基于SVM实现人眼注视与否的探知[J].光电子.激光,2004,15(10):1229-1233. 被引量:10
  • 2郑震,张延炘,胡颖新,王建华,常胜江.基于独立成份分析和支持向量机的人眼注视研究[J].光电子.激光,2007,18(4):491-494. 被引量:5
  • 3Ville Rantanen,Toni Vanhala,Outi Tuisku, et al. A weara- ble,wireless gaze tracker with integrated selection com- mand source for human-computer interaction [J]. IEEE Transactions on Information Technology in Biomedicine, 2011 ,15(5) :795-801.
  • 4Jae Won Bang, Eui Chul Lee, Kang Ryoung Park. New computer interface combining gaze tracking and brain- wave measurements[J]. IEEE Transactions on Consumer Electronics, 2011,57(4) : 1646-1651.
  • 5Hyeon Chang Lee,Duc Thien Luong,Chul Woo Cho,et al. Gaze tracking system at a distance for controlling IPTV [J]. IEEE Transactions on Consumer Electronics, 2010,56 (4) :2577-2583.
  • 6Craig A. Hennessey, Peter D. Lawrence. Improving the accuracy and reliability of remote system-calibration-free eye-gaze tracking[J].IEEE Transactions on Biomedical Engineering, 2009,56(7) : 1891-1900.
  • 7XU Li-Qun, Dave Machin, Phil Sheppard. A novel approa- ch to real-time non-intrusive gaze finding[A]. British Ma- chine Vision Conference[C]. 1998,428-437.
  • 8LU Hu-chuan, FANG Guo-liang,WANG Chao,et al. A no- vel method for gaze tracking by local pattern model and support vector regressor[J]. Signal Processing, 2010,90 (4) : 1290-1299.
  • 9WANG Jian-gang, Eric Sung,Ronda Venkateswarlu. Esti- mating the eye gaze from one eye[J]. Computer Vision and Image Understanding, 2005,98 ( 1 ) : 83-103.
  • 10ZHANG Wen, ZHANG Tai-ning, CHANG Sheng-jiang. Eye gaze estimation from the elliptical features of one iris [J]. Optical Engineering, 20] 1,50(4) : 047003-9.

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