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基于改进MeanShift算法的视线跟踪技术 被引量:2

Eye Tracking Technology Based on Improved Mean-Shift Algorithm
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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。 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.
出处 《海军航空工程学院学报》 2010年第2期141-144,共4页 Journal of Naval Aeronautical and Astronautical University
关键词 均值漂移 快速鲁棒特征 OPENCV 嘴部检测 人脸跟踪 MeanShifi SURF OpenCV mouth detecting face tracking
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参考文献8

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二级参考文献35

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