Hybrid Particle and Kalman Filtering for Pupil Tracking in Active IR Illumination Gaze Tracking System
Joint Authors
Xie, Lihua
Chi, Jian-nan
Zhang, Peng-yun
Lu, Yi-fang
Zhang, Guo-sheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-30
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
A novel pupil tracking method is proposed by combining particle filtering and Kalman filtering for the fast and accurate detection of pupil target in an active infrared source gaze tracking system.
Firstly, we utilize particle filtering to track pupil in synthesis triple-channel color map (STCCM) for the fast detection and develop a comprehensive pupil motion model to conduct and analyze the randomness of pupil motion.
Moreover, we built a pupil observational model based on the similarity measurement with generated histogram to improve the credibility of particle weights.
Particle filtering can detect pupil region in adjacent frames rapidly.
Secondly, we adopted Kalman filtering to estimate the pupil parameters more precisely.
The state transitional equation of the Kalman filtering is determined by the particle filtering estimation, and the observation of the Kalman filtering is dependent on the detected pupil parameters in the corresponding region of difference images estimated by particle filtering.
Tracking results of Kalman filtering are the final pupil target parameters.
Experimental results demonstrated the effectiveness and feasibility of this method.
American Psychological Association (APA)
Chi, Jian-nan& Xie, Lihua& Zhang, Peng-yun& Lu, Yi-fang& Zhang, Guo-sheng. 2014. Hybrid Particle and Kalman Filtering for Pupil Tracking in Active IR Illumination Gaze Tracking System. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1044264
Modern Language Association (MLA)
Chi, Jian-nan…[et al.]. Hybrid Particle and Kalman Filtering for Pupil Tracking in Active IR Illumination Gaze Tracking System. Mathematical Problems in Engineering No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-1044264
American Medical Association (AMA)
Chi, Jian-nan& Xie, Lihua& Zhang, Peng-yun& Lu, Yi-fang& Zhang, Guo-sheng. Hybrid Particle and Kalman Filtering for Pupil Tracking in Active IR Illumination Gaze Tracking System. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1044264
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044264