Driver Fatigue Detection System Based on DSP Platform
Due to non-invasiveness, monitoring driver state in computer vision (CV) has become a major way to detect driver fatigue. In contrast to other researches, we brought the driver fatigue detection system on the basis of DSP platform, which can make contribution to application on the integrated system for vehicle. However, the conventional system cannot easily be transplanted into DSP due to its storage and computation capacity. Therefore, designing an algorithm that can detect the fatigue efficiently is goal in this study. As the most important part of system, the geometric relationship and shape information within near frontal face is employed in the eye detection part, which depicts the eyebrow, eye and nose. In experiment part, a self-made database is assembled to test the performance of system. As the results of experiment, the detection rate of eye is achieved at 92.71 % and driver fatigue state is obtained at 97.5 %.
KeywordsDriver fatigue DSP platform Eye detection
- 5.Everingham, M., Zisserman, A.: Regression and classification approaches to eye localization in face images. In: 7th International Conference of Automatic Face Gesture Recognition, pp. 2105–2112. IEEE Press, Southampton (2006)Google Scholar
- 7.Zhu, B.L., Feng, J.J., et al.: Multi-position eye location based on complex background. Appl. Res. Comput. 29, 1977–1979 (2012)Google Scholar
- 12.Zhang, W.Z., Wang, Z.C., et al.: Eye localization and state analysis for driver fatigue detection. J. Chongqing Univ. 36, 22–28 (2013)Google Scholar
- 14.Shen, F., Shen, C., Shi Q., et al.: Inductive hashing on manifolds. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1562–1569. IEEE Press, Portland (2013)Google Scholar
- 16.Yang, Y., Yang, Y., Huang, Z., et al.: Tag localization with spatial correlations and joint group sparsity. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp. 881–888. IEEE Press, Providence (2011)Google Scholar