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基于独立特征融合的面部疲劳状态识别

Keywords: 疲劳分析,特征融合,离散余弦变换,独立元分析,Gabor小波

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Abstract:

为提高面部疲劳状态的识别效果,提出了一种融合全局特征和局部特征的面部疲劳特征表示方法.该方法将离散余弦变换(discretecosinetransform,DCT)和独立元分析(independentcomponentanalysis,ICA)技术以及Gabor变换相结合,通过融合全局独立DCT特征和局部动态Gabor特征得到最终的面部疲劳特征表示.基于前人自建的疲劳图像序列库进行了实验,结果表明该方法提取的疲劳特征更加具有鉴别力.

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