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The Face Tracking Research Based on Cam-Shift and Improved NMI

机译:基于Cam-Shift和改进NMI的人脸跟踪研究

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In order to take the complex background interference and real-time requirements into account, the experience apply NMI feature and Cam-Shift feature space on face tracking. By secondary search on the feature space of NMI human eye's feature and Cam-Shift emplacement space, the experience improve the accuracy of face identified location, adding Upper and lower line for improving calculate speed of characteristics of the human eye in NMI feature space leads to improve the accuracy of face detection. Experiments show that the method is real-time and effective.
机译:为了考虑到复杂的背景干扰和实时要求,该经验将NMI功能和Cam-Shift功能空间应用于面部跟踪。通过对NMI人眼特征的特征空间和Cam-Shift放置空间的二次搜索,体验提高了面部识别位置的准确性,增加了上下线以提高NMI特征空间中人眼特征的计算速度,从而获得了提高人脸检测的准确性。实验表明,该方法是实时有效的。

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