Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection
The statistic shows that the number of casualty increase in every year due to road accident related to driver drowsiness. After long journey or sleepless night, vehicle driver will perform some bio-features with regard to drowsiness on them face. It is self-evident that getting location information...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Natural Sciences Publishing Cor.
2013
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6877/1/Driver%27s_face_Tracking_Based_on_Improved_CAMShift_for_Drowsiness_Detection.pdf |
| _version_ | 1825821848553652224 |
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| author | Jie, Ma Rui, Xiao Kamarul Hawari, Ghazali |
| author_facet | Jie, Ma Rui, Xiao Kamarul Hawari, Ghazali |
| author_sort | Jie, Ma |
| collection | UMP |
| description | The statistic shows that the number of casualty increase in every year due to road accident related to driver drowsiness. After long journey or sleepless night, vehicle driver will perform some bio-features with regard to drowsiness on them face. It is self-evident that getting location information of face in continuous monitoring and surveillance system rapidly and accurately can help prevent many accidents, and consequently save money and reduce personal suffering. In this paper, according the real situation in vehicle, an improved CAMShift approach is proposed to tracking motion of driver’s head. Results from experiment show the significant performance of proposed approach in driver’s head tracking. |
| first_indexed | 2024-03-06T11:47:44Z |
| format | Article |
| id | UMPir6877 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:47:44Z |
| publishDate | 2013 |
| publisher | Natural Sciences Publishing Cor. |
| record_format | dspace |
| spelling | UMPir68772018-02-21T04:36:34Z http://umpir.ump.edu.my/id/eprint/6877/ Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection Jie, Ma Rui, Xiao Kamarul Hawari, Ghazali TK Electrical engineering. Electronics Nuclear engineering The statistic shows that the number of casualty increase in every year due to road accident related to driver drowsiness. After long journey or sleepless night, vehicle driver will perform some bio-features with regard to drowsiness on them face. It is self-evident that getting location information of face in continuous monitoring and surveillance system rapidly and accurately can help prevent many accidents, and consequently save money and reduce personal suffering. In this paper, according the real situation in vehicle, an improved CAMShift approach is proposed to tracking motion of driver’s head. Results from experiment show the significant performance of proposed approach in driver’s head tracking. Natural Sciences Publishing Cor. 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6877/1/Driver%27s_face_Tracking_Based_on_Improved_CAMShift_for_Drowsiness_Detection.pdf Jie, Ma and Rui, Xiao and Kamarul Hawari, Ghazali (2013) Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection. Applied Mathematics & Information Sciences Letters An International Journal, 1 (1). pp. 19-27. ISSN 2325-0399. (Published) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Jie, Ma Rui, Xiao Kamarul Hawari, Ghazali Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection |
| title | Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection |
| title_full | Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection |
| title_fullStr | Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection |
| title_full_unstemmed | Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection |
| title_short | Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection |
| title_sort | driver s face tracking based on improved camshift for drowsiness detection |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/6877/1/Driver%27s_face_Tracking_Based_on_Improved_CAMShift_for_Drowsiness_Detection.pdf |
| work_keys_str_mv | AT jiema driversfacetrackingbasedonimprovedcamshiftfordrowsinessdetection AT ruixiao driversfacetrackingbasedonimprovedcamshiftfordrowsinessdetection AT kamarulhawarighazali driversfacetrackingbasedonimprovedcamshiftfordrowsinessdetection |