Title :
An Accurate Eye Center Localization Method for Low Resolution Color Imagery
Author :
Skodras, E. ; Fakotakis, N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Patras, Patras, Greece
Abstract :
The development of eye localization and gaze tracking systems without the constraint of dedicated hardware, has lately motivated the scientific community. A lot of "passive" methods have been proposed, however their precision is limited and significantly reduced compared to the commercial, hardware-based, eye tracking devices. In this paper we introduce an automatic, non-intrusive method for precise eye center localization in low resolution images. To this end, the proposed system utilizes radial symmetry transform in both the original eye image and a novel eye map image derived from color information. Experimental results demonstrate great accuracy and robustness even in challenging cases, achieving also significant improvement over existing methods.
Keywords :
eye; image colour analysis; image resolution; object tracking; transforms; color information; dedicated hardware; eye center localization method; eye tracking devices; gaze tracking systems; low resolution color imagery; nonintrusive method; precise eye center localization; radial symmetry transform; scientific community; Accuracy; Databases; Face; Image color analysis; Image resolution; Iris; Transforms; eye localization; eye map; non-intrusive method; radial symmetry transform;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
Print_ISBN :
978-1-4799-0227-9
DOI :
10.1109/ICTAI.2012.141