Fatigue Detection Using Computer Vision

• Autorzy: Patel M. , Lal S. , Kavanagh D. , Rossiter P.
• Języki publikacji: EN

Abstrakty

EN

Long duration driving is a significant cause of fatigue related accidents of cars, airplanes, trains and other means of transport. This paper presents a design of a detection system which can be used to detect fatigue in drivers. The system is based on computer vision with main focus on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.

Słowa kluczowe

EN

face detection; eye blink detection; fatigue; computer vision

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2010
• Tom: Vol. 56, No. 4
• Strony: 457--461
• Opis fizyczny: Bibliogr. 17 poz., il., kr.

Twórcy

autor

Patel M.

autor

Lal S.

autor

Kavanagh D.

autor

Rossiter P.

• School of Medical and Molecular Biosciences, University of Technology, Sydney (UTS), NSW 2007, Australia,

Bibliografia

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