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...

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Main Authors:	Jie, Ma, Rui, Xiao, Kamarul Hawari, Ghazali
Format:	Article
Language:	English
Published:	Natural Sciences Publishing Cor. 2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/6877/ http://umpir.ump.edu.my/id/eprint/6877/1/Driver%27s_face_Tracking_Based_on_Improved_CAMShift_for_Drowsiness_Detection.pdf

id	ump-6877
recordtype	eprints
spelling	ump-68772018-02-21T04:36:34Z 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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
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
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.
format	Article
author	Jie, Ma Rui, Xiao Kamarul Hawari, Ghazali
author_facet	Jie, Ma Rui, Xiao Kamarul Hawari, Ghazali
author_sort	Jie, Ma
title	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_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_sort	driver's face tracking based on improved camshift for drowsiness detection
publisher	Natural Sciences Publishing Cor.
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6877/ http://umpir.ump.edu.my/id/eprint/6877/1/Driver%27s_face_Tracking_Based_on_Improved_CAMShift_for_Drowsiness_Detection.pdf
first_indexed	2023-09-18T22:03:03Z
last_indexed	2023-09-18T22:03:03Z
_version_	1777414526305566720

Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection

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