tailieunhanh - Báo cáo hóa học: "Research Article Simultaneous Eye Tracking and Blink Detection with Interactive Particle Filters"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Simultaneous Eye Tracking and Blink Detection with Interactive Particle Filters | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 823695 17 pages doi 2008 823695 Research Article Simultaneous Eye Tracking and Blink Detection with Interactive Particle Filters Junwen Wu and Mohan M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA 92093 USA Correspondence should be addressed to Junwen Wu juwu@ Received 2 May 2007 Revised 1 October 2007 Accepted 28 October 2007 Recommended by Juwei Lu We present a system that simultaneously tracks eyes and detects eye blinks. Two interactive particle filters are used for this purpose one for the closed eyes and the other one for the open eyes. Each particle filter is used to track the eye locations as well as the scales of the eye subjects. The set of particles that gives higher confidence is defined as the primary set and the other one is defined as the secondary set. The eye location is estimated by the primary particle filter and whether the eye status is open or closed is also decided by the label of the primary particle filter. When a new frame comes the secondary particle filter is reinitialized according to the estimates from the primary particle filter. We use autoregression models for describing the state transition and a classification-based model for measuring the observation. Tensor subspace analysis is used for feature extraction which is followed by a logistic regression model to give the posterior estimation. The performance is carefully evaluated from two aspects the blink detection rate and the tracking accuracy. The blink detection rate is evaluated using videos from varying scenarios and the tracking accuracy is given by comparing with the benchmark data obtained using the Vicon motion capturing system. The setup for obtaining benchmark data for tracking accuracy evaluation is presented and experimental results are shown. Extensive experimental evaluations validate the .