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Driver's fatigue detection has been realized based on driver's mouth geometrical features. It can give some information when driver is fatigue. For better speed and reliability, a new method which was based on combined Adaboost algorithm and particle filter was applied. Then the mouth verification was applied according to prior knowledge. Driver's state was judged by the geometrical features in a...
Driver fatigue is one of the main reasons causing traffic accidents. Yawning is an important character of driver fatigue. Mouth geometric character represents state of driver. So driver's mouth detection and information extraction is especially important. This paper proposes to locate and track driver's mouth using two CCD cameras to detect driver's fatigue in real-time. One of them is with cloud...
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