| 基于改进MeanShift算法的视线跟踪技术 |
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| 引用本文： | 谢晓方,时磊,陈青华,乔勇军.基于改进MeanShift算法的视线跟踪技术[J].海军航空工程学院学报,2010,25(2):141-144. |
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| 作者姓名： | 谢晓方 时磊 陈青华 乔勇军 |
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| 作者单位： | 海军航空工程学院,兵器科学与技术系,山东,烟台,264001 |
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| 摘 要： | 介绍了SURF算法和MeanShift算法的基本原理。将MeanShift跟踪算法应用于视觉鼠标技术,提出了基于OpenCV技术的视线系统设计方法;提出了基于SURF算法的自动嘴部区域初始化MeanShift改进算法。实验结果表明,算法匹配识别效果较好,基于MeanShift跟踪算法的嘴唇跟踪系统实时性好、具有较好鲁棒性。
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| 关 键 词： | 均值漂移 快速鲁棒特征 OpenCV 嘴部检测 人脸跟踪 |
Eye Tracking Technology Based on Improved Mean-Shift Algorithm |
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| XIE Xiao-fang,SHI Lei,CHEN Qing-hua and QIAO Yong-jun.Eye Tracking Technology Based on Improved Mean-Shift Algorithm[J].Journal of Naval Aeronautical Engineering Institute,2010,25(2):141-144. |
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| Authors: | XIE Xiao-fang SHI Lei CHEN Qing-hua and QIAO Yong-jun |
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| Institution: | (Department of Ordnance Science and Technology, NAAU, Yantai Shandong 264001, China) |
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| Abstract: | The basic concept of SURF and MeanShift algorithm was introduced. The application of MeanShifi algorithm to eye tracking was made and the design method of eye tracking system was elaborated. The improvement of MeanShift algorithm about automatic mouth area initial depend on SURF algorithm was elaborated. Experiment result expressed that the algorithm was effective in matching and identifying, and lip tracking system depending on MeanShift tracking algorithm was good in real time and robust feature. |
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| Keywords: | OpenCV |
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