Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review

Intelligent Transportation System (ITS) has been explored and widely used in modern cities. Most ITS studies aim to investigate novel vehicle system approaches which are vehicle detection, tracking or recognition. The vehicle recognition system is one of the technology applications widely used in IT...

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Main Authors:	Nor'Aqilah, Misman, Suryanti, Awang
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19974/ http://umpir.ump.edu.my/id/eprint/19974/ http://umpir.ump.edu.my/id/eprint/19974/ http://umpir.ump.edu.my/id/eprint/19974/1/Camera-based%20Vehicle%20Recognition%20Methods%20and%20Techniques.pdf

id	ump-19974
recordtype	eprints
spelling	ump-199742018-11-22T03:39:50Z http://umpir.ump.edu.my/id/eprint/19974/ Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review Nor'Aqilah, Misman Suryanti, Awang TK Electrical engineering. Electronics Nuclear engineering Intelligent Transportation System (ITS) has been explored and widely used in modern cities. Most ITS studies aim to investigate novel vehicle system approaches which are vehicle detection, tracking or recognition. The vehicle recognition system is one of the technology applications widely used in ITS. It is implemented to recognize vehicles using camera-based. However, there are several issues regarding these approaches such as unable to provide reliable results and performance, especially in the complex environment such as lighting, shadow, and occlusion. This paper aims to present a systematic literature review of vehicle recognition by presenting state of the art, methods and the processes. The vehicle recognition categorized into two types of approaches which are appearance and motion based. The appearance-based obtained the data from the static image while motion-based used the data from video. To extract the data, the standard processes used are pre-processing, feature extraction, feature selection, and classification. Based on existing works, the majority focused on a vehicle type recognition system, to offer an alternative to current practice in many related systems such as automatic toll system, traffic monitoring, vehicle counting, traffic census and others that used human observation or sensor-based on classifying the vehicle type. To conclude, this paper discussed the related findings and used for further research in overcoming challenges and issues in the vehicle recognition especially in the vehicle type recognition. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19974/1/Camera-based%20Vehicle%20Recognition%20Methods%20and%20Techniques.pdf Nor'Aqilah, Misman and Suryanti, Awang (2018) Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review. Advanced Science Letters, 24 (10). pp. 7623-7629. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12990 doi: 10.1166/asl.2018.12990
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 Nor'Aqilah, Misman Suryanti, Awang Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review
description	Intelligent Transportation System (ITS) has been explored and widely used in modern cities. Most ITS studies aim to investigate novel vehicle system approaches which are vehicle detection, tracking or recognition. The vehicle recognition system is one of the technology applications widely used in ITS. It is implemented to recognize vehicles using camera-based. However, there are several issues regarding these approaches such as unable to provide reliable results and performance, especially in the complex environment such as lighting, shadow, and occlusion. This paper aims to present a systematic literature review of vehicle recognition by presenting state of the art, methods and the processes. The vehicle recognition categorized into two types of approaches which are appearance and motion based. The appearance-based obtained the data from the static image while motion-based used the data from video. To extract the data, the standard processes used are pre-processing, feature extraction, feature selection, and classification. Based on existing works, the majority focused on a vehicle type recognition system, to offer an alternative to current practice in many related systems such as automatic toll system, traffic monitoring, vehicle counting, traffic census and others that used human observation or sensor-based on classifying the vehicle type. To conclude, this paper discussed the related findings and used for further research in overcoming challenges and issues in the vehicle recognition especially in the vehicle type recognition.
format	Article
author	Nor'Aqilah, Misman Suryanti, Awang
author_facet	Nor'Aqilah, Misman Suryanti, Awang
author_sort	Nor'Aqilah, Misman
title	Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review
title_short	Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review
title_full	Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review
title_fullStr	Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review
title_full_unstemmed	Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review
title_sort	camera-based vehicle recognition methods and techniques: systematic literature review
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/19974/ http://umpir.ump.edu.my/id/eprint/19974/ http://umpir.ump.edu.my/id/eprint/19974/ http://umpir.ump.edu.my/id/eprint/19974/1/Camera-based%20Vehicle%20Recognition%20Methods%20and%20Techniques.pdf
first_indexed	2023-09-18T22:28:38Z
last_indexed	2023-09-18T22:28:38Z
_version_	1777416136031207424

Camera-based Vehicle Recognition Methods and Techniques: Systematic Literature Review

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