| 张明恒.基于SVM的驾驶员面部朝向检测[J].,2013,53(6):879-884 |
| 基于SVM的驾驶员面部朝向检测 |
| Driver′s face orientation recognition based on SVM |
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| DOI：10.7511/dllgxb201306015 |
| 中文关键词: 机器视觉 面部朝向 支持向量机(SVM) 安全辅助驾驶 |
| 英文关键词: machine vision face orientation support vector machine (SVM) driver assistance system |
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| 摘要点击次数: 1363 |
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| 中文摘要: |
| 驾驶员精神状态监测对于交通事故控制具有重要作用．基于支持向量机(SVM)建立信息融合的面部朝向检测模型,在驾驶员面部图像视觉特征(眼睛、嘴部及面部轮廓)检测基础上,通过分析头部运动过程中各特征的空间位置变化规律,利用SVM对驾驶员面部朝向进行多信息融合估计．结果表明,特征检测方法可实现面部各视觉特征的可靠检测,分析得出的各特征运动变化规律可用于对面部朝向的有效估计,从而为驾驶员驾车精神状态监测提供技术支持． |
| 英文摘要: |
| Driver′s spiritual state monitoring is important for reducing traffic accidents. Based on support vector machine (SVM), a face orientation recognition model with information fusion is presented. Firstly, based on the detected multiple visual features such as eyes, mouth and facial contours, the features′position variations during the head moving are analyzed. Then, the face orientation is estimated with these characteristics through SVM method. The experimental results show that the proposed method for features detection has good reliability and the face orientation can be inferred according to the relevant characteristics. It is clear that the proposed method has strong potential effectiveness to be applied to the driver′s spiritual state monitoring. |
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