Real-time eye 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 p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/16437/1/Real.pdf |
| _version_ | 1796969054595973120 |
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| author | Razalli, Husniza O. K. Rahmat, Rahmita Wirza Mahmod, Ramlan |
| author_facet | Razalli, Husniza O. K. Rahmat, Rahmita Wirza Mahmod, Ramlan |
| 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 paper is not only a vision system with eye detection capability.Our aim is to design a real-time face tracker system and iris localization using edge point detection method indicates 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 | 2024-03-06T07:37:25Z |
| format | Article |
| id | upm.eprints-16437 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:37:25Z |
| publishDate | 2009 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | upm.eprints-164372018-10-25T06:41:23Z http://psasir.upm.edu.my/id/eprint/16437/ Real-time eye tracking and iris localization Razalli, Husniza O. K. Rahmat, Rahmita Wirza Mahmod, Ramlan 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 paper is not only a vision system with eye detection capability.Our aim is to design a real-time face tracker system and iris localization using edge point detection method indicates from image processing and circle fitting technique. As a result, our eye tracker system was successfully implemented using non-intrusive webcam with less error. Penerbit UTM Press 2009-06 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16437/1/Real.pdf Razalli, Husniza and O. K. Rahmat, Rahmita Wirza and Mahmod, Ramlan (2009) Real-time eye tracking and iris localization. Jurnal Teknologi, 50 (D). pp. 43-57. ISSN 0127-9696 https://jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/166 10.11113/jt.v50.166 |
| spellingShingle | Razalli, Husniza O. K. Rahmat, Rahmita Wirza Mahmod, Ramlan Real-time eye tracking and iris localization |
| title | Real-time eye tracking and iris localization |
| title_full | Real-time eye tracking and iris localization |
| title_fullStr | Real-time eye tracking and iris localization |
| title_full_unstemmed | Real-time eye tracking and iris localization |
| title_short | Real-time eye tracking and iris localization |
| title_sort | real time eye tracking and iris localization |
| url | http://psasir.upm.edu.my/id/eprint/16437/1/Real.pdf |
| work_keys_str_mv | AT razallihusniza realtimeeyetrackingandirislocalization AT okrahmatrahmitawirza realtimeeyetrackingandirislocalization AT mahmodramlan realtimeeyetrackingandirislocalization |