Efficient algorithms for detection of face, eye and eye state
Eye state analysis (open or closed) is an important step in fatigue detection. In this study, an efficient algorithm for eye state detection is proposed. At first, a new face detection method is presented for noisy images that finds the face area in the input image well. Then, novel algorithms for d...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-06-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2011.0091 |
| _version_ | 1827817978820820992 |
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| author | Hashem Kalbkhani Mahrokh G. Shayesteh Seyyed Mohsen Mousavi |
| author_facet | Hashem Kalbkhani Mahrokh G. Shayesteh Seyyed Mohsen Mousavi |
| author_sort | Hashem Kalbkhani |
| collection | DOAJ |
| description | Eye state analysis (open or closed) is an important step in fatigue detection. In this study, an efficient algorithm for eye state detection is proposed. At first, a new face detection method is presented for noisy images that finds the face area in the input image well. Then, novel algorithms for detection of eye region and eye state are introduced. The performance of the proposed method is evaluated on four different databases namely FERET, Aberdeen, IMM and CVL which contain more than 5700 images with different descents, positions, light conditions and glasses. The results show that the new method achieves more accuracy rate than the previously presented algorithms, while it does not need training data and is also computationally efficient. |
| first_indexed | 2024-03-12T00:41:09Z |
| format | Article |
| id | doaj.art-56a3db164cb24da8ac727542df7637d7 |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:41:09Z |
| publishDate | 2013-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-56a3db164cb24da8ac727542df7637d72023-09-15T07:13:42ZengWileyIET Computer Vision1751-96321751-96402013-06-017318420010.1049/iet-cvi.2011.0091Efficient algorithms for detection of face, eye and eye stateHashem Kalbkhani0Mahrokh G. Shayesteh1Seyyed Mohsen Mousavi2Department of Electrical EngineeringUrmia UniversityUrmiaIranDepartment of Electrical EngineeringUrmia UniversityUrmiaIranDepartment of Computer EngineeringUrmia UniversityUrmiaIranEye state analysis (open or closed) is an important step in fatigue detection. In this study, an efficient algorithm for eye state detection is proposed. At first, a new face detection method is presented for noisy images that finds the face area in the input image well. Then, novel algorithms for detection of eye region and eye state are introduced. The performance of the proposed method is evaluated on four different databases namely FERET, Aberdeen, IMM and CVL which contain more than 5700 images with different descents, positions, light conditions and glasses. The results show that the new method achieves more accuracy rate than the previously presented algorithms, while it does not need training data and is also computationally efficient.https://doi.org/10.1049/iet-cvi.2011.0091face detection methodeye state detectioneye state analysisfatigue detectionnoisy imageseye region detection |
| spellingShingle | Hashem Kalbkhani Mahrokh G. Shayesteh Seyyed Mohsen Mousavi Efficient algorithms for detection of face, eye and eye state IET Computer Vision face detection method eye state detection eye state analysis fatigue detection noisy images eye region detection |
| title | Efficient algorithms for detection of face, eye and eye state |
| title_full | Efficient algorithms for detection of face, eye and eye state |
| title_fullStr | Efficient algorithms for detection of face, eye and eye state |
| title_full_unstemmed | Efficient algorithms for detection of face, eye and eye state |
| title_short | Efficient algorithms for detection of face, eye and eye state |
| title_sort | efficient algorithms for detection of face eye and eye state |
| topic | face detection method eye state detection eye state analysis fatigue detection noisy images eye region detection |
| url | https://doi.org/10.1049/iet-cvi.2011.0091 |
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