Detecting driver drowsiness by combining Viola-Jones image processing method and image landmarks detection

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Fatigue is one of the main causes of traffic accidents which leads to the death of many people on the roads every year. Several methods have been developed to detect the level of fatigue, one of which is intelligent fatigue detection and the use of various parameters in a long time and based on driving history. This advantage leads to the detection of fatigue in the early stages and activating the alarm before the accident happens. In this paper, a new method is applied to detect drowsiness from video frames using the YawDD database. The operation of the proposed system is based on the tracking of facial landmarks extracted from video frames. The purpose of this paper is to detect drowsiness from facial expressions. By extracting and tracking key points, facial expressions such as normal or sleepy can be detected. First, the initial position of the face is determined and then the key points are extracted using Viola-Jones and SIFT algorithms respectively. This method is capable of detecting the driver's drowsiness with good accuracy.
Language:
Persian
Published:
Amirkabir Journal of Civil Engineering, Volume:57 Issue: 3, Jun 2025
Pages:
489 to 506
https://www.magiran.com/p2866697  
سامانه نویسندگان
  • Corresponding Author (1)
    Amir Moasoud Rahimi
    Associate Professor Civil Engineering, University of Zanjan, Zanjan, Iran
    Rahimi، Amir Moasoud
  • Author (3)
    Ehsan Ramezani Khansari
    Assistant Professor Civil-Transportation Engineering, Imam Khomeini International University, Qazvin, Iran
    Ramezani Khansari، Ehsan
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