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Authors
Affiliations
1 Department of Electronics and Telecommunication, SSGI, Bhilai, IN
Source
Digital Image Processing, Vol 4, No 16 (2012), Pagination: 880-883
Abstract
Driver’s fatigue is one of the major causes of traffic accidents on road. There has been much work done in driver fatigue detection. This paper presents a comprehensive survey of research on driver fatigue detection, tracking the mouth to monitoring and recognizing yawning and provides structural categories for the methods which have been proposed. The methods of fatigue detection mainly focused on measures of the driver's state, driver performance and the combination of the driver's state and performance. The measures of driver's state included PERCLOS, mouth shape and head position; the measures of driver performance included lane tracking and tracking of distance between vehicles. These approaches are presented and discussed in detail. Some typical driver monitoring systems are introduced in this paper. This paper also discusses the algorithms that have been used to detect drowsiness. The decision whether the driver is dozing or not is taken depending on whether the eyes are open for a specific number of frames. If the eyes are found to be closed for a certain number of consecutive frames then the driver is alerted with an alarm. Finally, summary and conclusions are presented.
Keywords
Driver’s Fatigue, Fatigue Detection, Driver Monitoring System, Yawning.
