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Drivers face Tracking Based on Improved CAMShift for Drowsiness Detection |
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PP: 19-27 |
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Author(s) |
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Jie Ma,
Rui Xiao,
Kamarul Hawari Bin Ghazali,
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Abstract |
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| The statistic shows that the number of casualties increases in every year where road accidents due to drowsiness driving occurred very common. After long journey or sleepless night, vehicle driver will perform some bio-features with regard to drowsiness on them face. It is self-evident that getting location information of head in continuous monitoring and surveillance system rapidly and accurately can help prevent many accidents, and consequently save money and reduce personal suffering. In this paper, according the real situation in vehicle, an improved CAMShift approach is proposed to tracking motion of driver’s head. The results from experiment show the proposed approach have done significant performance improvement for driver’s head tracking. |
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