基于视点跟踪的感兴趣区检测方法  

Region of Interest Detection Method Based on Gaze Tracking

作　　者：赵孟凯[1] 张菁[1] 卓力[1] 沈兰荪[1] 

机构地区：[1]北京工业大学信号与信息处理研究室,北京100124

出　　处：《数据采集与处理》2010年第1期50-55,共6页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(60772069)资助项目;国家高技术研究发展计划("八六三"计划)(2009AA12Z111;2008AA01A313)资助项目;北京市自然科学基金(4102008)资助项目;北京市归回留学人员择优资助项目;北京工业大学博士科研启动基金资助项目

摘　　要：针对目前基于内容的图像检索系统中,难以客观弥补语义鸿沟的问题,提出了一种利用视点跟踪技术检测感兴趣区的方法。人眼注视运动传递了大量反映个体心理活动的信息。通过实时捕获人眼的注视点,客观地获得用户兴趣信息,根据注视点位置计算用户兴趣度,最终提取图像感兴趣区。本文提出了一种低复杂度的实时视点跟踪方法,定义了兴趣度的度量公式,并建立了一套基于视点跟踪的感兴趣区检测实验平台。实验结果表明,该方法可以有效地提取用户感兴趣区,弥补语义鸿沟。As existing CBIR systems are difficult to bridge the semantic gap, a new region of interest （ROD detection method is proposed based on gaze tracking. Eye-gaze conveys a great deal of information including the underlying mental process of the subject. The user interests are real-time obtained by tracking gaze points, then the ROI is detected. A real-time and low complexity.gaze tracking method is proposed and the interest measure functions are defined. A platform for gaze tracking based ROI detection is designed and implemented. Experimental results show that the ROI can be detected by the method, and the semantic gap is bridged.

关 键 词：图像检索 视点跟踪 语义鸿沟 感兴趣区 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]