一种基于人脸视觉的驾驶疲劳检测的算法 |
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作者单位: | 云南师范大学计算机与信息技术学院 云南昆明650092 |
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摘 要: | 提出了基于人脸视觉技术的驾驶疲劳检测方法.首先利用帧差法检测人脸,然后对脸部进行跟踪.在可靠人脸的基础上,定位眼睛及特征提取,根据疲劳人眼特征和头部状态的疲劳检测来决定是否触发警告.实验证明,可以在自然光情况下,快速实时有效识别出驾驶员疲劳时眼部状态,本算法具有较好鲁棒性.
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关 键 词: | 人脸检测 脸部跟踪 面部特征提取 驾驶疲劳 PERCLOS |
An algorithm to detect drowsy drive of based on facial vision |
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Authors: | CHEN Xiao-jun YANG Li WU Hong-ling LI Hong-lin FENG Qiao-sheng |
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Abstract: | It is proposed a novel arithmetic to detect drowsy drive based on facial vision. At first detecting and tracking the face, then localing eyes and extracting its feature. As drowsy eyes features and the certain state of the head and judge the fatigue. The experiment show vision face-based method effectively achieve fatigue drive recognition in normal condition and more raboost. |
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Keywords: | face detection face track facial feature extraction drowsy drive PERCLOS |
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