15 November 2011 Driver fatigue detection system based on DSP
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Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83351Q (2011); doi: 10.1117/12.917544
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China
Abstract
To detect driver fatigue states effectively and in real time, a driver fatigue detection system was built, which take ICETEK-DM6347 module as system core, near-infrared LED as light source, and CCD camera as picture gathering device. An improved PER-NORFACE detection method combined several simple and efficient image processing algorithms was proposed, which based on principle of PERCLOS method and take the human face location as the main detection target. To ensure the ability of real-time processing, the algorithms on the DM6437 DaVinci processor were optimized. Experiments show that the system could complete the driver fatigue states detection accurately and in real time.
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Qian Wang, Fu liang Yu, Lixin Song, "Driver fatigue detection system based on DSP", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351Q (15 November 2011); doi: 10.1117/12.917544; https://doi.org/10.1117/12.917544
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KEYWORDS
Image processing

Digital signal processing

Video

Detection and tracking algorithms

Image segmentation

Light emitting diodes

Video processing

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