Driver's Face Tracking based on Improved CAMShift

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:	Kamarul Hawari, Ghazali, Ma, Jie, Xiao, Rui
Format:	Article
Language:	English English
Published:	MECS 2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/6366/ http://umpir.ump.edu.my/id/eprint/6366/ http://umpir.ump.edu.my/id/eprint/6366/ http://umpir.ump.edu.my/id/eprint/6366/1/Driver%27s_Face_Tracking_Based_on_Improved_CAMShift.pdf http://umpir.ump.edu.my/id/eprint/6366/4/fkee-2013-hawari-Driver%27s%20Face%20Tracking.pdf

id	ump-6366
recordtype	eprints
spelling	ump-63662018-02-21T04:56:13Z http://umpir.ump.edu.my/id/eprint/6366/ Driver's Face Tracking based on Improved CAMShift Kamarul Hawari, Ghazali Ma, Jie Xiao, Rui 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 head 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. MECS 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6366/1/Driver%27s_Face_Tracking_Based_on_Improved_CAMShift.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/6366/4/fkee-2013-hawari-Driver%27s%20Face%20Tracking.pdf Kamarul Hawari, Ghazali and Ma, Jie and Xiao, Rui (2013) Driver's Face Tracking based on Improved CAMShift. International Journal of Image, Graphics and Signal Processing (IJIGSP), 5 (1). pp. 1-7. ISSN 2074-9074 (print); 2074-9082 (online) http://dx.doi.org/10.5815/ijigsp.2013.01.01 DOI: 10.5815/ijigsp.2013.01.01
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Kamarul Hawari, Ghazali Ma, Jie Xiao, Rui Driver's Face Tracking based on Improved CAMShift
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 head 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	Kamarul Hawari, Ghazali Ma, Jie Xiao, Rui
author_facet	Kamarul Hawari, Ghazali Ma, Jie Xiao, Rui
author_sort	Kamarul Hawari, Ghazali
title	Driver's Face Tracking based on Improved CAMShift
title_short	Driver's Face Tracking based on Improved CAMShift
title_full	Driver's Face Tracking based on Improved CAMShift
title_fullStr	Driver's Face Tracking based on Improved CAMShift
title_full_unstemmed	Driver's Face Tracking based on Improved CAMShift
title_sort	driver's face tracking based on improved camshift
publisher	MECS
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6366/ http://umpir.ump.edu.my/id/eprint/6366/ http://umpir.ump.edu.my/id/eprint/6366/ http://umpir.ump.edu.my/id/eprint/6366/1/Driver%27s_Face_Tracking_Based_on_Improved_CAMShift.pdf http://umpir.ump.edu.my/id/eprint/6366/4/fkee-2013-hawari-Driver%27s%20Face%20Tracking.pdf
first_indexed	2023-09-18T22:02:03Z
last_indexed	2023-09-18T22:02:03Z
_version_	1777414463816728576

Driver's Face Tracking based on Improved CAMShift

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