Real Time Face-Tracking And Iris Localization
Robust, non-intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human-computer interaction...
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| Format: | Thèse |
| Langue: | anglais anglais |
| Publié: |
2009
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| Accès en ligne: | http://psasir.upm.edu.my/id/eprint/11928/1/FSKTM_2009_9.pdf |
| Résumé: | Robust, non-intrusive human eye detection problem has been a fundamental and
challenging problem for computer vision area. Not only it is a problem of its own, it can
be used to ease the problem of finding the locations of other facial features for
recognition tasks and human-computer interaction purposes as well. Many previous
works have the capability of determining the locations of the human eyes but the main
task in this thesis is not only a vision system with eye detection capability. Our aim is to
design a real-time, robust, scale-invariant face tracker system with human eye movement
indication property using the movements of iris based on localization technique indicate
from image processing and circle fitting technique. As a result, our eye tracker system
was successfully implemented using non-intrusive webcam with less error. |
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