An Overview and Evaluation of Various Face and Eyes Detection Algorithms for Driver Fatigue Monitoring Systems

Abstract

In this work various methods and algorithms for face and eyes detection are examined in order to decide which of them are applicable for use in a driver fatigue monitoring system. In the case of face detection the standard Viola-Jones face detector has shown best results, while the method of finding the eye centers by means of gradients has proven to be most appropriate in the case of eyes detection. The later method has also a potential for retrieving behavioral parameters needed for estimation of the level of driver fatigue. This possibility will be examined in future work.

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BibTeX Citation

DOI

10.20532/ccvw.2013.0010

https://doi.org/10.20532/ccvw.2013.0010

BibTeX

@InProceedings{10.20532/ccvw.2013.0010,
  author =       {Markan Lopar and Slobodan Ribari{\' c}},
  title =        {An Overview and Evaluation of Various Face and Eyes
                  Detection Algorithms for Driver Fatigue Monitoring
                  Systems},
  booktitle =    {Proceedings of the Croatian Compter Vision Workshop,
                  Year 1},
  pages =        {15-18},
  year =         2013,
  editor =       {Lon{\v c}ari{\' c}, Sven and {\v S}egvi{\' c},
                  Sini{\v s}a},
  address =      {Zagreb},
  month =        {September},
  organization = {Center of Excellence for Computer Vision},
  publisher =    {University of Zagreb},
  abstract =     {In this work various methods and algorithms for face
                  and eyes detection are examined in order to decide
                  which of them are applicable for use in a driver
                  fatigue monitoring system. In the case of face
                  detection the standard Viola-Jones face detector has
                  shown best results, while the method of finding the
                  eye centers by means of gradients has proven to be
                  most appropriate in the case of eyes detection. The
                  later method has also a potential for retrieving
                  behavioral parameters needed for estimation of the
                  level of driver fatigue. This possibility will be
                  examined in future work.},
  doi =          {10.20532/ccvw.2013.0010},
  url =          {https://doi.org/10.20532/ccvw.2013.0010}
}