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...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/11928/1/FSKTM_2009_9.pdf |
| _version_ | 1811137330351702016 |
|---|---|
| author | Razalli, Husniza |
| author_facet | Razalli, Husniza |
| author_sort | Razalli, Husniza |
| collection | UPM |
| 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 | 2024-03-06T07:24:03Z |
| format | Thesis |
| id | upm.eprints-11928 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-09-25T03:32:35Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | upm.eprints-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/11928/1/FSKTM_2009_9.pdf |
| work_keys_str_mv | AT razallihusniza realtimefacetrackingandirislocalization |