Gabor-based Facial Image Sequential Pattern Mining for Human Fatigue Monitoring

نویسندگان

  • Lei Wang
  • Haiyan Yang
  • Xinhua Jiang
  • Xiang Feng
چکیده

Fatigue is the main factor to cause traffic accidents. Based on survey of existed fatigue detection methods, a new method for extracting characteristics of Human face based on Gabor translation is proposed in this paper, and based on which, by combing with the frequent patterns mining, a new fatigue detection method for vehicle drivers based on the Human face image sequences is proposed. Simulation results show that the newly proposed algorithm has better fatigue detection performance for identification of vehicle drivers than the existed method based on single face image.

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تاریخ انتشار 2011