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Eye Tracking and Detection by using Template Generation and Parameter based Judgment

Tarun Dhar Diwan

Abstract


The eyes are tracked and correlation scores between the actual eye and the corresponding "closed-eye" template are used to detect blinks. Eye blinking is one of the prominent areas to solve many real world problems. The work that has been carried out for eye tracking only is not suitable for eye blink detection. Stored template for a particular depth is chosen. Once the template is chosen and the system is in operation, the subject will be restricted to be at the specified distance. Another disadvantage of the system is that changing camera Positions require the whole system to be retrained the process of blink detection consists of two phases. These are eye tracking followed by detection of blink. The work that has been carried out for eye tracking only is not suitable for eye blink detection. Therefore some approaches had been proposed for eye tracking along with eyes blink detection. This paper implements one of the approaches given by Michael et al [1]. Further more the result of template creation accuracy and total blink detection to count number of eye blinks in an image sequence. Online template is completely independent of any past templates that may have been created during the run of the system. At last after analyzing all these approaches some of the parameters we obtained on which better performance of eye blink detection algorithm depend.


Keywords


Template, Frames, Interface, Testing, Automatically, Involuntary

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References


Farhan Zaidi, T.Morris, P.Blenkhorn, “Blink detection for real time eye tracking”, Journal of Network and Computer Applications (2002) pages 129-143 February 2002.

Michael Chau and Margrit Betke “Real time eye tracking and blink detection using USB camera”, Boston University Computer Science Technical Report No. 2005-12.

D. G. Evans, R. Drew, P. Blenkhorn, "Controlling Mouse Pointer Position Using an Infrared Head Operated Joystick", ieee transactions on rehabilitation engineering, vol. 8, pages107-116, march 2000.

Y.-I. Tian, T. Kanade & J. Cohn 2000. Dual-State Parametric Eye tracking. Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, pages 26-30 March 2000.

J.-Y. Deng & F. Lai. "Region-Based Template Deformation and Masking for Eye-Feature Extraction and Description". Pattern Recognition 30, pages 403-419, MARCH 1997.

C. Fagiani, M. Betke, and J. Gips. Evaluation of tracking methods for human-computer interaction. Proceedings of the IEEE Workshop on Applications in Computer Vision (WACV 2002), pages 121–126, Orlando,Florida, December 2002.

Y. Tian, T. Kanade & J. Cohn 1999. "Multi-State Based Facial Feature Tracking and Detection.Robotics Institute", Carnegie Mellon University, Technical Report CMU-RI-TR-99-18.

X. Xie, R. Sudhakar & H. Zhuang. On Improving Eye Feature Extraction Using Deformable Templates. Pattern Recognition 27,pages 791-799,1994.

A. L. Yuille, D. S. Cohen & P. W. Hallinan. Feature Extraction from Faces Using Deformable Templates. Proceedings Computer Vision and Pattern Recognition, pages 104-109, 2008.

X. Wei, Z. Zhu, L. Yin, and Q. Ji. A real-time face tracking and animation system. Proceedings of the CVPR Workshop on Face Processing in Video (FPIV2004),Washington, D.C., June 28 2004.

M. Betke,W. Mullally, and J. Magee. Active detection of eye scleras in real time. Proceedings of the IEEE CVPR Workshop on Human Modeling, Analysis and Synthesis (HMAS 2000), Hilton Head Island, SC, June2000.

T.N. Bhaskar, F.T. Keat, S. Ranganath, and Y.V.Venkatesh. Blink detection and eye tracking for eye localization. Proceedings of the Conference on Convergent Technologies for Asia-Pacific Region (TENCON2003), pages 821–824, Bangalore, Inda, October15-17 2003.

S. Crampton and M. Betke. Counting fingers in real time:A webcam-based human-computer interface with game applications. Proceedings of the Conference on Universal Access in Human-Computer Interaction (affiliated with HCI International 2003), pages1357–1361, Crete, Greece, June 2003.

J. Deng and F. Lai." Region based template deformation and masking for eye feature extraction and description". Pattern Recognition, pages 403–419, 1997.

D.O. Gorodnichy. On importance of nose for face tracking. Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition (FG 2002), pages 188–196, Washington, D.C., May 20-21 2002.

“Digital Image Processing Using MATLAB” Rafael C. Gonzalez, Richard E.Woods,Steven L.Eddins, Mc Graw Hill, Second Edition, 2010.


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