Title :
Vision based system for driver drowsiness detection
Author :
Alshaqaqi, Belal ; Baquhaizel, Abdullah Salem ; El Amine Ouis, Mohamed ; Boumehed, Meriem ; Ouamri, Abdelaziz ; Keche, Mokhtar
Author_Institution :
Lab. signals & images (LSI), Univ. of Sci. & Technol. of Oran Mohamed Boudiaf (USTO-MB), Oran, Algeria
Abstract :
Drowsiness of drivers is amongst the significant causes of road accidents. Every year, it increases the amounts of deaths and fatalities injuries globally. In this paper, a module for Advanced Driver Assistance System (ADAS) is presented to reduce the number of accidents due to drivers fatigue and hence increase the transportation safety; this system deals with automatic driver drowsiness detection based on visual information and Artificial Intelligence. We proposed an algorithm to locate, track, and analyze both the drivers face and eyes to measure PERCLOS, a scientifically supported measure of drowsiness associated with slow eye closure.
Keywords :
artificial intelligence; computer vision; driver information systems; face recognition; human factors; object tracking; road accidents; road safety; ADAS; PERCLOS; advanced driver assistance system; artificial intelligence; automatic driver drowsiness detection; deaths; driver eye localisation; driver eye tracking; driver face localisation; driver face tracking; driver fatigue; fatal injuries; road accidents; slow eye closure; transportation safety; vision-based system; visual information; Accidents; Face; Face detection; Image color analysis; Labeling; Skin; Vehicles; ADAS; Drowsiness detection; Eye state; Eyes Detection and Tracking; Face Detection and Tracking; PERCLOS;
Conference_Titel :
Programming and Systems (ISPS), 2013 11th International Symposium on
Conference_Location :
Algiers
Print_ISBN :
978-1-4799-1152-3
DOI :
10.1109/ISPS.2013.6581501
