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Real Time Blinking Detection Based on Gabor Filter
Kohei Arai, Ronny Mardiyanto
Pages - 33 - 45     |    Revised - 30-11-2010     |    Published - 20-12-2010
Volume - 1   Issue - 3    |    Publication Date - December 2010  Table of Contents
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KEYWORDS
Blinking, Gabor Filter, Eye Arc
ABSTRACT
New method of blinking detection is proposed. The utmost important of blinking detections method is robust against different users, noise, and also change of eye shape. In this paper, we propose blinking detections method by measuring of distance between two arcs of eye (upper part and lower part). We detect eye arcs by apply Gabor filter onto eye image. As we know that Gabor filter has advantage on image processing application since it able to extract spatial localized spectral features, such line, arch, and other shape are more easily detected. After two of eye arcs are detected, we measure the distance between both by using connected labeling method. The open eye is marked by the distance between two arcs is more than threshold and otherwise, the closed eye is marked by the distance less than threshold. The experiment result shows that our proposed method robust enough against different users, noise, and eye shape changes with perfectly accuracy.
CITED BY (16)  
1 張超. (2016). Study on Environmental Control System for People with Serious Disabilities.
2 Arai, K. (2016). Computer Input Just by Sight and Its Applications in Particular for Disable Persons. In Information Technology: New Generations (pp. 995-1007). Springer International Publishing.
3 Zhang, C., Ishimatsu, T., Yu, J., Murray, L., & Shi, L. (2015, August). Vision-based displacement sensor for people with serious spinal cord injury. In Mechatronics and Automation (ICMA), 2015 IEEE International Conference on (pp. 772-777). IEEE.
4 Arai, K. (2015). Computer Input by Human Eyes Only and It’s Applications. In Intelligent Systems in Science and Information 2014 (pp. 1-22). Springer International Publishing.
5 Raffle, H. S., Patel, N., & Braun, M. B. (2015). U.S. Patent No. 9,213,403. Washington, DC: U.S. Patent and Trademark Office.
6 Tait, M., & Billinghurst, M. N. (2015). U.S. Patent No. 9,146,618. Washington, DC: U.S. Patent and Trademark Office.
7 Song, F., Tan, X., Liu, X., & Chen, S. (2014). Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients. Pattern Recognition, 47(9), 2825-2838.
8 Arai, K., & Mardiyanto, R. (2013). Method for psychological status estimation by gaze location monitoring using eye-based human-computer interaction. Editorial Preface, 4(3).
9 Arai, K. (2013). Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
10 Arai, K. (2013). Lecturer’s e-Table (Server Terminal) Which Allows Monitoring the Location at Where Each Student is Looking During Lessons with e-Learning Contents Through Client Terminals. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ARTIFICIAL INTELLIGENCE, 2(6).
11 Dinh, H., Jovanov, E., & Adhami, R. (2012). Eye blink detection using intensity vertical projection. In International Multi-Conference on Engineering and Technological Innovation: IMETI.
12 Arai, K. (2012). Method for leaning efficiency improvements based on gaze location notifications on e-learning content screen display. International Journal of Advanced Research in Artificial Intelligence, 1(3), 1-6.
13 Arai, K., & XiaoYu, G. (2012). Method for 3D Object of Content Representation and Manipulation on 2D Display Using Human Eyes Only. 한국콘텐츠학회 2012 추계종합학술대회, 49-50.
14 Kohei Arai, & Mardiyanto, R. (2012). Robot arm control and feeding support system based on the line-of-sight input. The Institute of Electrical Engineers Journal C (Electronics and Information Systems Division magazine), 132 (3), 416-423.
15 Kohei Arai, & Mardiyanto, R. (2012). Helper robot. Image e-Journal with the voice communication capabilities and line-of-sight cruise control function, 41 (5), 535-542.
16 Kohei Arai. (2012). Human-computer interaction and its application system based on the line-of-sight. Image e-Journal, 41 (3), 296-301.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 Scribd 
5 SlideShare 
6 PDFCAST 
7 PdfSR 
1 Robert Krupi?ski and Przemys?aw Mazurek. Estimation of Eye Blinking Using Biopotentials Measurements for Computer Animation Applications. Lecture Notes in Computer Science, Vol 5337/2009, pp 302-310, 2009
2 Bin Abd Rani, M.S. bt. Mansor, W. Detection of eye blinks from EEG signals for home lighting system activation. Proceeding of ISMA '09 6th International Symposium, pp 1-4, 200
3 Ilkwon Park, Jung-Ho Ahn, and Hyeran Byun. Efficient Measurement of Eye Blinking under Various Illumination Conditions for Drowsiness Detection Systems. Proceedings of IEEE the 18th International Conference on Pattern Recognition, 2006
4 Kristen Grauman, Margrit Betke, James Gips, Gary R. Bradski. Communication via Eye Blinks Detection and Duration Analysis in Real Time. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001
5 Zhu Hao, Qianwei Lei. "Vision-Based Interface: Using Face and Eye Blinking Tracking with Camera". iita, vol. 1, pp.306-310, 2008 Second International Symposium on Intelligent Information Technology Application, 2008
6 Yunqi, L., Meiling, Y., Xiaobing, S., Xiuxia, L., and Jiangfan, O. 2009. Recognition of Eye States in Real Time Video. Proceedings of the 2009 international Conference on Computer Engineering and Technology, Vol 01, pp 554-559, 2009
7 S. Sirohey, A. Rosenfeld and Z. Duric. A method of detecting and tracking irises and eyelids in video". Pattern Recognition, vol. 35, num. 6, pp. 1389-1401, 2002.
8 T. Morris, P. Blenkhorn and F. Zaidi. Blink detection for real-time eye tracking. Journal of Network and Computer Applications, vol. 25, num. 2, pp. 129-143, April 2002.
9 Matjaz Divjak, Horst Bischof. Eye blink based fatigue detection for prevention of Computer Vision Syndrome. IAPR Conference on Machine Vision Applications, Tokyo, 2009.
10 Marc Lalonde, David Byrns, Langis Gagnon, Normand Teasdale, Denis Laurendeau. Realtime eye blink detection with GPU-based SIFT tracking. Fourth Canadian Conference on In Computer and Robot Vision, pp 481-487, 2007.
11 Michael Chau and Margrit Betke. Real Time Eye Tracking and Blink Detection with USB Cameras. Boston University Computer Science Technical Report No. 2005-12, May 2005.
12 Gang Pan, Lin Sun, Zhaohui Wu and Shihong Lao. Eyeblink-based anti-spoofing in face recognition from a generic webcamera. The 11th IEEE International Conference on Computer Vision (ICCV'07), Rio de Janeiro, Brazil, October 2007.
13 Akihiro Sugimoto, Akihiro Nakayama, Takashi Matsuyama. Detecting a Gazing Region by Visual Direction and Stereo Cameras. Proc. of the 16th International Conference on Pattern Recognition, 2002
14 Matja Divjak, Horst Bischof. Real-time video-based eye blink analysis for detection of low blink-rate during computer use. Institute for Computer Graphics and Vision Graz University of Technology Austria, 2008.
15 . D. Gabor. Theory of Communication. J. IEE, vol. 93, pp. 429-459, 1946.
16 J.G. Daugman. Two-Dimensional Spectral Analysis of Cortical Receptive Field Profile. Vision Research, vol. 20, pp. 847-856, 1980.
17 J.G. Daugman. Uncertainty Relation for Resolution in Space, Spatial Frequency, and Orientation Optimized by Two- Dimensional Visual Cortical Filters. J. Optical Soc. Amer., vol. 2, no. 7, pp. 1,160-1,169, 1985.
18 Tai Sing Lee. "Image Representation Using 2D Gabor Wavelets". IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 959-971, October, 1996.
19 http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/AV0405/SIKLOSSY/bars.html.
Professor Kohei Arai
Saga University - Japan
arai@ip.is.saga-u.ac.id
Mr. Ronny Mardiyanto
Institut Teknologi Sepuluh Nopember - Japan