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:
Online Access: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
http://irep.iium.edu.my/69862/
https://openphysicsjournal.com/
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spelling my.iium.irep.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 https://openphysicsjournal.com/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/69862/13/69862%20Multi-target%20tracking%20algorithm%20in%20intelligent.pdf
http://irep.iium.edu.my/69862/14/69862%20Multi-target%20tracking%20algorithm%20in%20intelligent%20SCOPUS.pdf
http://irep.iium.edu.my/69862/
https://openphysicsjournal.com/
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score 13.211869