Driver's Drowsiness Detection System for IvvI Vehicle

نویسندگان

  • Marco Javier Flores
  • Jose M. Armingol
  • Arturo de la Escalera
چکیده

Currently, the traffic accidents study is become important because they produce several died and hurt around the world. In this paper, a new Driver Assistance System (DAS) for automatic driver’s drowsiness detection based on visual information is presented. This algorithm works on several stages. Once is to localize the face position using Viola and Jones (VJ) object detector. Another is to localize the eye position using face anthropometric measurements and expectation maximization algorithm later on, and then, continuing with eye tracking based on the Condensation algorithm. Finally, the system identifies the eye state and computes a drowsiness index. Due to this, it is a robust driver’s monitoring system. Examples of different driver’s images taken over a real vehicle are shown to validate the algorithm.

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تاریخ انتشار 2008