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论文类型：会议论文

发表时间：2012-01-15

收录刊物：EI、CPCI-S、Scopus

卷号：152-154

页面范围：1165-+

关键字：Machine Vision; Driver Fatigue; BN (Bayesian network)

摘要：Driving fatigue is one of the main reasons of traffic accident. In this field, the method based on multi-source information fusion has been a leading technique. A driver fatigue recognition model based on the Bayesian network was introduced in this paper. The real-time system monitored the state of the driver's features such as eyes, mouth and head movement through computer vision technique, their results were fused with Bayesian network inference algorithm and the final fusion result could be inferred according to the probability values of different variables states. Test results showed that this method could be more reasonably robust, reliable, and accurate in fatigue detection.