Novel Automatic Eye Detection and Tracking Algorithm
The eye is not only one of the most complex but also the most important sensory organ of the human body. Eye detection and eye tracking are basement and hot issue in image processing. A non-invasive eye location and eye tracking is promising for hands-off gaze-based human–computer interface, fatigue...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Elsevier Ltd
2015
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/8758/1/fkee-2015-shawal-Novel%20Automatic%20Eye-art.pdf http://umpir.ump.edu.my/id/eprint/8758/ http://dx.doi.org/10.1016/j.optlaseng.2014.11.003 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1831522520358977536 |
|---|---|
| author | Kamarul Hawari, Ghazali M. S., Jadin Ma, Jie Rui, Xiao |
| author_facet | Kamarul Hawari, Ghazali M. S., Jadin Ma, Jie Rui, Xiao |
| author_sort | Kamarul Hawari, Ghazali |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The eye is not only one of the most complex but also the most important sensory organ of the human body. Eye detection and eye tracking are basement and hot issue in image processing. A non-invasive eye location and eye tracking is promising for hands-off gaze-based human–computer interface, fatigue detection, instrument control by paraplegic patients and so on. For this purpose, an innovation work frame is proposed to detect and tracking eye in video sequence in this paper. The contributions of this work can be divided into two parts. The first contribution is that eye filters were trained which can detect eye location efficiently and accurately without constraints on the background and skin colour. The second contribution is that a framework of tracker based on sparse representation and LK optic tracker were built which can track eye without constraint on eye status. The experimental results demonstrate the accuracy aspects and the real-time applicability of the proposed approach.
|
| format | Article |
| id | my.ump.umpir.8758 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2015 |
| publisher | Elsevier Ltd |
| record_format | eprints |
| spelling | my.ump.umpir.87582018-02-21T04:41:34Z http://umpir.ump.edu.my/id/eprint/8758/ Novel Automatic Eye Detection and Tracking Algorithm Kamarul Hawari, Ghazali M. S., Jadin Ma, Jie Rui, Xiao Q Science (General) TK Electrical engineering. Electronics Nuclear engineering The eye is not only one of the most complex but also the most important sensory organ of the human body. Eye detection and eye tracking are basement and hot issue in image processing. A non-invasive eye location and eye tracking is promising for hands-off gaze-based human–computer interface, fatigue detection, instrument control by paraplegic patients and so on. For this purpose, an innovation work frame is proposed to detect and tracking eye in video sequence in this paper. The contributions of this work can be divided into two parts. The first contribution is that eye filters were trained which can detect eye location efficiently and accurately without constraints on the background and skin colour. The second contribution is that a framework of tracker based on sparse representation and LK optic tracker were built which can track eye without constraint on eye status. The experimental results demonstrate the accuracy aspects and the real-time applicability of the proposed approach. Elsevier Ltd 2015-04 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8758/1/fkee-2015-shawal-Novel%20Automatic%20Eye-art.pdf Kamarul Hawari, Ghazali and M. S., Jadin and Ma, Jie and Rui, Xiao (2015) Novel Automatic Eye Detection and Tracking Algorithm. Optics and Lasers in Engineering, 67. pp. 49-56. ISSN 0143-8166. (Published) http://dx.doi.org/10.1016/j.optlaseng.2014.11.003 DOI:10.1016/j.optlaseng.2014.11.003 |
| spellingShingle | Q Science (General) TK Electrical engineering. Electronics Nuclear engineering Kamarul Hawari, Ghazali M. S., Jadin Ma, Jie Rui, Xiao Novel Automatic Eye Detection and Tracking Algorithm |
| title | Novel Automatic Eye Detection and Tracking Algorithm |
| title_full | Novel Automatic Eye Detection and Tracking Algorithm |
| title_fullStr | Novel Automatic Eye Detection and Tracking Algorithm |
| title_full_unstemmed | Novel Automatic Eye Detection and Tracking Algorithm |
| title_short | Novel Automatic Eye Detection and Tracking Algorithm |
| title_sort | novel automatic eye detection and tracking algorithm |
| topic | Q Science (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/8758/1/fkee-2015-shawal-Novel%20Automatic%20Eye-art.pdf http://umpir.ump.edu.my/id/eprint/8758/ http://dx.doi.org/10.1016/j.optlaseng.2014.11.003 |
| url_provider | http://umpir.ump.edu.my/ |