Multi-target tracking algorithm in intelligent transportation based on wireless sensor network

The traditional extended Kalman algorithm for multi-target tracking in the field of intelligent transportation does not consider the occlusion problem of the multi-target tracking process, and has the disadvantage of low multi-target tracking accuracy. A multi-target tracking algorithm using wirele...

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Main Authors:	Lei, Yang, Wu, Yuan, Khan Chowdhury, Ahmed Jalal
Format:	Article
Language:	English English
Published:	Walter de Gruyter 2018
Subjects:	QC Physics
Online Access:	http://irep.iium.edu.my/69862/ http://irep.iium.edu.my/69862/ http://irep.iium.edu.my/69862/13/69862%20Multi-target%20tracking%20algorithm%20in%20intelligent.pdf http://irep.iium.edu.my/69862/14/69862%20Multi-target%20tracking%20algorithm%20in%20intelligent%20SCOPUS.pdf

id	iium-69862
recordtype	eprints
spelling	iium-698622019-06-21T08:38:49Z http://irep.iium.edu.my/69862/ Multi-target tracking algorithm in intelligent transportation based on wireless sensor network Lei, Yang Wu, Yuan Khan Chowdhury, Ahmed Jalal QC Physics The traditional extended Kalman algorithm for multi-target tracking in the field of intelligent transportation does not consider the occlusion problem of the multi-target tracking process, and has the disadvantage of low multi-target tracking accuracy. A multi-target tracking algorithm using wireless sensors in an intelligent transportation system is proposed. Based on the dynamic clustering structure, the measurement results of each sensor are the superimposed results of sound signals and environmental noise from multiple targets. During the tracking process, each target corresponds to a particle filter. When the target spacing is relatively close to each other, each master node realizes distributed multi-target tracking through information exchange. At the same time, it is also necessary to consider the overlap between adjacent frames. Since the moving target speed is too fast, the target occlusion has the least influence on the tracking accuracy,and can accurately track multiple targets. The experimental results show that the proposed algorithm has a target tracking error of 0.5 m to 1 m, and the tracking result has high precision Walter de Gruyter 2018-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/69862/13/69862%20Multi-target%20tracking%20algorithm%20in%20intelligent.pdf application/pdf en http://irep.iium.edu.my/69862/14/69862%20Multi-target%20tracking%20algorithm%20in%20intelligent%20SCOPUS.pdf Lei, Yang and Wu, Yuan and Khan Chowdhury, Ahmed Jalal (2018) Multi-target tracking algorithm in intelligent transportation based on wireless sensor network. Open Physics, 16 (1). pp. 1000-1008. ISSN 2391-5471 E-ISSN 1644-3608 https://openphysicsjournal.com/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QC Physics
spellingShingle	QC Physics Lei, Yang Wu, Yuan Khan Chowdhury, Ahmed Jalal Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
description	The traditional extended Kalman algorithm for multi-target tracking in the field of intelligent transportation does not consider the occlusion problem of the multi-target tracking process, and has the disadvantage of low multi-target tracking accuracy. A multi-target tracking algorithm using wireless sensors in an intelligent transportation system is proposed. Based on the dynamic clustering structure, the measurement results of each sensor are the superimposed results of sound signals and environmental noise from multiple targets. During the tracking process, each target corresponds to a particle filter. When the target spacing is relatively close to each other, each master node realizes distributed multi-target tracking through information exchange. At the same time, it is also necessary to consider the overlap between adjacent frames. Since the moving target speed is too fast, the target occlusion has the least influence on the tracking accuracy,and can accurately track multiple targets. The experimental results show that the proposed algorithm has a target tracking error of 0.5 m to 1 m, and the tracking result has high precision
format	Article
author	Lei, Yang Wu, Yuan Khan Chowdhury, Ahmed Jalal
author_facet	Lei, Yang Wu, Yuan Khan Chowdhury, Ahmed Jalal
author_sort	Lei, Yang
title	Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
title_short	Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
title_full	Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
title_fullStr	Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
title_full_unstemmed	Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
title_sort	multi-target tracking algorithm in intelligent transportation based on wireless sensor network
publisher	Walter de Gruyter
publishDate	2018
url	http://irep.iium.edu.my/69862/ http://irep.iium.edu.my/69862/ http://irep.iium.edu.my/69862/13/69862%20Multi-target%20tracking%20algorithm%20in%20intelligent.pdf http://irep.iium.edu.my/69862/14/69862%20Multi-target%20tracking%20algorithm%20in%20intelligent%20SCOPUS.pdf
first_indexed	2023-09-18T21:39:11Z
last_indexed	2023-09-18T21:39:11Z
_version_	1777413024610516992

Multi-target tracking algorithm in intelligent transportation based on wireless sensor network

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