Using Genetic Algorithm for Eye Detection and Tracking in Video Sequence
We propose a high-speed size and orientation invariant eye tracking method, which can acquire numerical parameters to represent the size and orientation of the eye. In this paper, we discuss that high tolerance in human head movement and real-time processing that are needed for many applications, su...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Institute of Informatics and Cybernetics
2007-04-01
|
| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/P246488.pdf
|
| _version_ | 1811259071823609856 |
|---|---|
| author | Takuya Akashi Yuji Wakasa Kanya Tanaka Stephen Karungaru Minoru Fukumi |
| author_facet | Takuya Akashi Yuji Wakasa Kanya Tanaka Stephen Karungaru Minoru Fukumi |
| author_sort | Takuya Akashi |
| collection | DOAJ |
| description | We propose a high-speed size and orientation invariant eye tracking method, which can acquire numerical parameters to represent the size and orientation of the eye. In this paper, we discuss that high tolerance in human head movement and real-time processing that are needed for many applications, such as eye gaze tracking. The generality of the method is also important. We use template matching with genetic algorithm, in order to overcome these problems. A high speed and accuracy tracking scheme using Evolutionary Video Processing for eye detection and tracking is proposed. Usually, a genetic algorithm is unsuitable for a real-time processing, however, we achieved real-time processing. The generality of this proposed method is provided by the artificial iris template used. In our simulations, an eye tracking accuracy is 97.9% and, an average processing time of 28 milliseconds per frame. |
| first_indexed | 2024-04-12T18:23:57Z |
| format | Article |
| id | doaj.art-eadbce729ca64d7d8730837882b25c04 |
| institution | Directory Open Access Journal |
| issn | 1690-4524 |
| language | English |
| last_indexed | 2024-04-12T18:23:57Z |
| publishDate | 2007-04-01 |
| publisher | International Institute of Informatics and Cybernetics |
| record_format | Article |
| series | Journal of Systemics, Cybernetics and Informatics |
| spelling | doaj.art-eadbce729ca64d7d8730837882b25c042022-12-22T03:21:18ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242007-04-01527278Using Genetic Algorithm for Eye Detection and Tracking in Video SequenceTakuya Akashi0Yuji Wakasa1Kanya Tanaka2Stephen Karungaru3Minoru Fukumi4 Yamaguchi University Yamaguchi University Yamaguchi University The University of Tokushima The University of Tokushima We propose a high-speed size and orientation invariant eye tracking method, which can acquire numerical parameters to represent the size and orientation of the eye. In this paper, we discuss that high tolerance in human head movement and real-time processing that are needed for many applications, such as eye gaze tracking. The generality of the method is also important. We use template matching with genetic algorithm, in order to overcome these problems. A high speed and accuracy tracking scheme using Evolutionary Video Processing for eye detection and tracking is proposed. Usually, a genetic algorithm is unsuitable for a real-time processing, however, we achieved real-time processing. The generality of this proposed method is provided by the artificial iris template used. In our simulations, an eye tracking accuracy is 97.9% and, an average processing time of 28 milliseconds per frame.http://www.iiisci.org/Journal/CV$/sci/pdfs/P246488.pdf Image UnderstandingEye TrackingEye DetectionTemplate MatchingHuman InterfaceGenetic Algorithm |
| spellingShingle | Takuya Akashi Yuji Wakasa Kanya Tanaka Stephen Karungaru Minoru Fukumi Using Genetic Algorithm for Eye Detection and Tracking in Video Sequence Journal of Systemics, Cybernetics and Informatics Image Understanding Eye Tracking Eye Detection Template Matching Human Interface Genetic Algorithm |
| title | Using Genetic Algorithm for Eye Detection and Tracking in Video Sequence |
| title_full | Using Genetic Algorithm for Eye Detection and Tracking in Video Sequence |
| title_fullStr | Using Genetic Algorithm for Eye Detection and Tracking in Video Sequence |
| title_full_unstemmed | Using Genetic Algorithm for Eye Detection and Tracking in Video Sequence |
| title_short | Using Genetic Algorithm for Eye Detection and Tracking in Video Sequence |
| title_sort | using genetic algorithm for eye detection and tracking in video sequence |
| topic | Image Understanding Eye Tracking Eye Detection Template Matching Human Interface Genetic Algorithm |
| url | http://www.iiisci.org/Journal/CV$/sci/pdfs/P246488.pdf
|
| work_keys_str_mv | AT takuyaakashi usinggeneticalgorithmforeyedetectionandtrackinginvideosequence AT yujiwakasa usinggeneticalgorithmforeyedetectionandtrackinginvideosequence AT kanyatanaka usinggeneticalgorithmforeyedetectionandtrackinginvideosequence AT stephenkarungaru usinggeneticalgorithmforeyedetectionandtrackinginvideosequence AT minorufukumi usinggeneticalgorithmforeyedetectionandtrackinginvideosequence |