The week's pick
Random Articles
Reseach Article
Particle Filtering in the Design of an Accurate Pupil Tracking System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 51 - Number 8 |
| Year of Publication: 2012 |
| Authors: Morteza Sadri, Kaveh Kangarloo, Fardad Farokhi |
10.5120/8060-1424
|
Morteza Sadri, Kaveh Kangarloo, Fardad Farokhi . Particle Filtering in the Design of an Accurate Pupil Tracking System. International Journal of Computer Applications. 51, 8 ( August 2012), 6-11. DOI=10.5120/8060-1424
Abstract
Accurate pupil tracking plays an important role in many sophisticated applications such as HCI , behavioral research, driver's fatigue detection and marketing. In this study particle filter helps us to track pupil in video frames under active IR illumination. The proposed method can be categorized as follow; The eye video is captured by a HMD camera, then precise location of the pupil is determined by thresholding and applying Snake algorithm, next the contour of the detected pupil is modeled with an ellipse, finally the parameters of the ellipse such as center coordinates and major & minor axiss are tracked by particle filter. Experimental results of the proposed method which applied to 20 different subjects, demonstrate the accuracy of the proposed method.
References
- M. S. Arulampalam, S. Maskell, N. Gordon, T. Clapp , 2002 "A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking" IEEE Transactions On Signal Processing, Vol. 50, No. 2, February
- M. Asadifard, J. Shabanzadeh, 2010 " Automatic Adaptive Center of Pupil Detection Using Face Detection and CDF Analysis " Proceedings of the International MultiConference of Engineers and Computer Scientists , Vol I.
- CASIA V3. 0 Iris Image Database http://www. cbsr. ia. ac. cn/IrisDatabase. htm
- H. Fang, J. W. Kim, J. W. Jang, 2011 "A Fast Snake Algorithm for Tracking Multiple Objects" Journal of Information Processing Systems, Vol. 7, No. 3, pp:519-530
- N. J. Gordon, D. J. Salmond, A. F. M. Smith, 1993 "Novel Approach to Nonlinear/Non-Gaussian Bayesian State Estimation" IEE Proceedings-F, Vol. 140, No. 2 pp:107-113
- H. Hua, P. Krishnaswamy, 2006 "Video-based Eyetracking Methods and Algorithms in Head-mounted Displays" OPTIC EXPRESS 4328, Vol. 14, No. 10
- A. A. Jarjes . K. Wang ,G. J. Mohammad, 2010 "GVF Snake-based Method for Accurate Pupil Contour Detection" Information Technology Journal 9(8):1653-1658, ISSNC1812-5638
- Q. Ji, X. Yang, 2002 "Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance" Real-Time Imaging 8, 357–377
- C. Jian-nan, Z. Chuang, Q. Yan-jun, L. Ying, Y. Li, 2011 "Pupil Tracking Method Based on Particle Filtering in Gaze Tracking System" International Journal of the Physical Sciences Vol. 6(5), pp. 1233-1243
- M. Kass, A. Witkin, and D. Terzopoulos, 1987 "Snakes: Active Contour Models," Int. J. Comput. Vis. , vol. 1, no. 4, pp. 321–331,
- O. V. Komogortsev, J. I. Khan, 2007 "Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces"J. Jacko (Ed. ): Human-Computer Interaction, Part III, HCII 2007, NCS 4552, pp. 679–689, 2007. Springer-Verlag Berlin Heidelberg
- A. Liaghatdar, K. Kangarloo, F. Farokhi, 2011 "Pupil Localizing in Video images the First Step Toward Eye Monitoring" International Conference on Multimedia Technology (ICMT) pp: 3163-3166.
- S. Panev, O. Bombarov, S. Sokolov, 2008 " IR Based Pupil Tracking Using Particle Filtering" International Scientific Conference Computer Science'2008
- D. A. Robinson, 1963 "A method of measuring eye movements using a scleral search coil in a magnetic field,"IEEE Trans. Biomed. Electron. BME 10, 137-145.
- Y. Yu, Q. Cheng, 2006 "Particle Filters for Maneuvering Target Tracking Problem" Signal Processing, Vol. 86, Issue1, pp:195-203
- Z. Zhu, Q. Ji, K. Fujimura, 2002 "Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking Under Active IR Illumination" IEEE , 1051-4651/02
Index Terms
Keywords