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ICPR
2002
IEEE

Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking under Active IR Illumination

10 years 2 months ago
Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking under Active IR Illumination
Most eye trackers based on active IR illumination require distinctive bright pupil effect to work well. However, due to a variety of factors such as eye closure, eye occlusion, and external illuminations interference, pupils are not bright enough for these methods to work well. This tends to significantly limit their scope of application. In this paper, we present a new real time eye tracking methodology that works under variable and realistic lighting conditions and various face orientations. By combining the conventional appearance based object recognition method (SVM) and object tracking method (mean shift) with Kalman filtering based on active IR illumination, our technique is able to benefit from the strengths of different techniques and overcome their respective limitations. Experimental study shows significant improvement of our technique over the existing techniques.
Zhiwei Zhu, Qiang Ji, Kikuo Fujimura, Kuangchih Le
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where ICPR
Authors Zhiwei Zhu, Qiang Ji, Kikuo Fujimura, Kuangchih Lee
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