Applied-Information Technology with DSP-Based Recognition Algorithms of Driver Fatigue

Zheng Hong Deng; Rui Jun Jing; Li Yan Liu

doi:10.4028/www.scientific.net/AMR.1022.286

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1022Applied-Information Technology with DSP-Based...

Applied-Information Technology with DSP-Based Recognition Algorithms of Driver Fatigue

Abstract:

To be effective, and real-time detect fatigue, system based on the DM642 module,platform and infrared camera collects images and detects fatigue. the optimization algorithm is implementated on the special DSP library. That using skin color Gaussian model, connected domain and integral projection method detects eyes. Target area is divided by adaptive threshold.we use sobel edge detection and extraction of integral projection to extract eyes closure degree, and use PERCOL to judge fatigue. Experiments show that the system improves the computing speed and precision and realizes the real-time detection purposes.

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Periodical:

Advanced Materials Research (Volume 1022)

Pages:

286-291

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1022.286

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Online since:

August 2014

Authors:

Zheng Hong Deng, Rui Jun Jing*, Li Yan Liu

Keywords:

Color Gaussian Model, Driver Fatigue, Integral Projection

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* - Corresponding Author

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