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)
![[img]](http://umpir.ump.edu.my/style/images/fileicons/application_pdf.png) |
PDF
Driver's_face_Tracking_Based_on_Improved_CAMShift_for_Drowsiness_Detection.pdf - Published Version Restricted to Repository staff only Download (1MB) | Request a copy |
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Color Space, Face Tracking, CAMShift, Mean Shift, Probability Distribution Function. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Ms Suriati Mohd Adam |
| Date Deposited: | 05 Jan 2015 03:47 |
| Last Modified: | 21 Feb 2018 04:36 |
| URI: | http://umpir.ump.edu.my/id/eprint/6877 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |