The increasing number of traffic accidents is principally caused by fatigue. In fact, the fatigue presents a real danger on road since\nit reduces driver capacity to react and analyze information. In this paper we propose an efficient and nonintrusive system for\nmonitoring driver fatigue using yawning extraction. The proposed scheme uses face extraction based support vector machine\n(SVM) and a new approach for mouth detection, based on circular Hough transform (CHT), applied on mouth extracted\nregions. Our system does not require any training data at any step or special cameras. Some experimental results showing system\nperformance are reported. These experiments are applied over real video sequences acquired by low cost web camera and recorded\nin various lighting conditions.
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