Algorithm of fatigue driving behavior recognition based on deep learning model
A fatigue driving behavior recognition algorithm was proposed based on the deep learning model to identify fatigue driving behavior and to reduce the incidences of road traffic accidents.An illuminance enhancement method and a reflection component equalization method were used to improve the quality of video images.The Machine Vision Toolbox software was used to extract facial behavior features of fatigued drivers.A deep learning model was constructed and trained by using a dual-stream network to achieve fatigue driving behavior recognition.The images of participants'driving behavior in fully enclosed segments during different sleep periods were selected as experimental test targets.The results show that the recognition time is 89 ms,the accuracy is 97.6%,and the recall rate is 97.0%when 1 000 images of fatigue driving behavior are tested by the proposed algorithm;The computing power requirement(floating-point operations per second,FLOPS)is less than or equal to 88.Therefore,this algorithm improves the recognition accuracy of fatigue driving behavior,helps to reduce the incidence of road traffic accidents.
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