The week's pick
Random Articles
Reseach Article
Establishing the Blink Cycle of the Eye using OTSU Method and Gaussian Filter
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 4 |
| Year of Publication: 2017 |
| Authors: Dominic Asamoah, Peter Amoako-Yirenkyi, Stephen Opoku Oppong, Nuku Atta Kordzo Abiew |
10.5120/ijca2017915514
|
Dominic Asamoah, Peter Amoako-Yirenkyi, Stephen Opoku Oppong, Nuku Atta Kordzo Abiew . Establishing the Blink Cycle of the Eye using OTSU Method and Gaussian Filter. International Journal of Computer Applications. 175, 4 ( Oct 2017), 16-23. DOI=10.5120/ijca2017915514
Abstract
Strong and efficient algorithm in real time eye tracking system has been an ultimate and thought-provoking problem for computer vision. This so because most studies have tried to characterized eye using mainly pupil and iris. These features need the full cooperation of the individual making computing information impractical. Secondly, computing information using these features is subjective and also depends on the race. All these methods do not consider the individual making it general as the individual has blink cycle and for that matter different levels of fatigue rendering previous works inaccurate, hence this study. In this paper, a methodology for establishing the blink cycle of the eye is presented. The paper employs a method, where individual’s face is captured by a camera by receiving video sequence which are streamed into frames and then transformed into RGB. Haar classifiers are used to detect eyes region and eyelid feature. The eyes are detected to be either open or closed at a particular period by using thresholding and equations regarding the symmetry of human face. The eye region is processed to ascertain certain attributes of eyelid movement.
References
- Pimplaskar D., Nagmode M.S., Borkar A., (2013), Real Time Eye Blinking Detection and Tracking Using OpencvDhaval Pimplaskar et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1780-1787
- Lalonde, M., Byrns, D., Gagnon, L., Teasdale, N., Laurendeau, D.(2007): Real-time eye blink detection with GPU-based SIFT tracking. In: Proceedings of the Fourth Canadian Conference on Computer and Robot Vision. CRV ’07, Washington, DC, USA, IEEE Computer Society, 2007, pp. 481–487.
- Divjak, M., Bischof, H.(2009): Eye blink based fatigue detection for prevention of Computer Vision Syndrome. In: IAPR Conference on Machine Vision Applications (MVA 2009), 2009, pp.350–353.
- Liting,W., Xiaoqing, D., Changsong, L.,Wang, K.(2009): Eye Blink Detection Based on Eye Contour extraction. In: Image Processing: Algorithms and Systems, SPIE Electronics Imaging, 2009, p. 72450.
- Ayudhaya, C., Srinark, T.(2009): A method for a real time eye blink detection and its applications. In: The 6th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2009, pp. 25 – 30.
- Khilari R, (2010). “Iris Tracking and Blink Detection for Human Computer Interaction Using a Low Resolution Webcam.”
- Mardiyanto R., Arai K., (2010) “Real Time Blinking Detection Based on Gabor filler”.International Journal of recent Trends in Human Computer Interactions (HCI) Vol 1: Issue 3, Dec 2010
- Arai, K., Mardiyanto, R (2011): Comparative Study on Blink Detection and Gaze Estimation Methods for HCI, in Particular, Gabor Filter Utilized Blink Detection Method. In: Proceedings of the 2011 Eighth International Conference on Information Technology: New Generations. ITNG ’11, Washington, DC, USA, IEEE Computer Society, 2011, pp. 441–446.
- Galab M.K., Abdalkader H.M., Zayed. H.H., “Adaptive Real Time Eye-Blink Detection System” International Journal of Computer Application (0975-8887) Vol. 99. -No. 5 August 2014
- Salehian S., Far B., (2015) “Embedded Real Time Blink Detection System for Driver Fatigue Monitoring.” Department of Electrical and Computer Engineering University of Calgary. 2015.
- Akshatha .S., (2016) “Eye Blink Detection Using Adaboost Approach and Morphological Operation” International journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. Vol 5, Issue 4, April 2016.
Index Terms
Keywords