Driver's Face Tracking Based on Improved CAMShift
Kamarul Hawari Ghazali, Jie Ma, Rui Xiao · International Journal of Image Graphics and Signal Processing · 2012
The statistic shows that the number of casualty increase in every year due to road accident related to driver drowsiness.After long journey or sleepless night, vehicle driver will perform some biofeatures 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.Results from experiment show the significant performance of proposed approach in driver's head tracking.