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: | Thesis |
| Language: | English English |
| Published: |
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/11928/ http://psasir.upm.edu.my/id/eprint/11928/1/FSKTM_2009_9.pdf |
| _version_ | 1848841708822855680 |
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| author | Razalli, Husniza |
| author_facet | Razalli, Husniza |
| author_sort | Razalli, Husniza |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T07:47:32Z |
| format | Thesis |
| id | upm-11928 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:47:32Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-119282024-06-27T03:33:03Z http://psasir.upm.edu.my/id/eprint/11928/ Real Time Face-Tracking And Iris Localization Razalli, Husniza 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. 2009-11 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/11928/1/FSKTM_2009_9.pdf Razalli, Husniza (2009) Real Time Face-Tracking And Iris Localization. Masters thesis, Universiti Putra Malaysia. Visual perception Human-computer interaction Image processing English |
| spellingShingle | Visual perception Human-computer interaction Image processing Razalli, Husniza Real Time Face-Tracking And Iris Localization |
| title | Real Time Face-Tracking And Iris Localization |
| title_full | Real Time Face-Tracking And Iris Localization |
| title_fullStr | Real Time Face-Tracking And Iris Localization |
| title_full_unstemmed | Real Time Face-Tracking And Iris Localization |
| title_short | Real Time Face-Tracking And Iris Localization |
| title_sort | real time face-tracking and iris localization |
| topic | Visual perception Human-computer interaction Image processing |
| url | http://psasir.upm.edu.my/id/eprint/11928/ http://psasir.upm.edu.my/id/eprint/11928/1/FSKTM_2009_9.pdf |