| 多尺度YOLO人脸年龄估计方法研究 |
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| 引用本文： | 房国志,孙康瞳. 多尺度YOLO人脸年龄估计方法研究[J]. 计算机工程与应用, 2019, 55(21): 135-141. DOI: 10.3778/j.issn.1002-8331.1903-0045 |
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| 作者姓名： | 房国志 孙康瞳 |
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| 作者单位： | 哈尔滨理工大学 测控技术与通信工程学院,哈尔滨,150080;哈尔滨理工大学 测控技术与通信工程学院,哈尔滨,150080 |
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| 摘 要： | 通过观察人脸估计年龄较为常见,但如何准确预测年龄则是一个难题。为提高人脸图像年龄估计的准确率,提出一种基于YOLO(You Only Look Once)模型的目标检测方法。将多尺度回归思想应用于卷积神经网络(Convolutional Neural Network,CNN),通过多尺度卷积改善模型对小尺寸目标的提取能力,结合特征通道分权重思想,改善特征提取操作中特征信息丢失的问题,构造决策树回归得到年龄估计。这种方法在人脸年龄图像库FG-NET上获得平均绝对误差(MAE)3.43,在GROUP数据集获得区间匹配度(AEM)62.4%。实验结果表明,通过多尺度特征回归以及通道权重分配,可以较为准确地进行人脸信息检测,并由此建立鲁棒性更强的人脸年龄估计模型。
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| 关 键 词： | 人脸年龄估计 特征提取算法 卷积神经网络 特征通道权重分配 多尺度特征回归 |
Research on Face Age Estimation Based on Multi-Scale YOLO Model |
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| FANG Guozhi,SUN Kangtong. Research on Face Age Estimation Based on Multi-Scale YOLO Model[J]. Computer Engineering and Applications, 2019, 55(21): 135-141. DOI: 10.3778/j.issn.1002-8331.1903-0045 |
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| Authors: | FANG Guozhi SUN Kangtong |
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| Affiliation: | College of Measurement and Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin 150080, China |
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| Abstract: | To improve the accuracy of age estimation in face images, a feature extraction method based on YOLO model is proposed. The idea of multi-scale regression is applied to Convolutional Neural Network（CNN）, which improves the ability of extracting small-scale targets by multi-scale convolution. Combining the idea of feature channel weighting, the problem of feature information loss in feature extraction operation is improved. A decision tree regression is constructed to obtain age estimation. The Mean Absolute Error（MAE） is 3.43 on FG-NET, and the interval matching（AEM） is 62.4% on GROUP dataset. The experimental results show that the face information can be detected more accurately by multi-scale feature regression and channel weight allocation, and a more robust face age estimation model can be established. |
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| Keywords: | face age estimation feature extraction algorithm convolutional neural network characteristic channel weight assignment multiscale feature regression |
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