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Article: Crowdtracker: Optimized urban moving object tracking using mobile crowd sensing

TitleCrowdtracker: Optimized urban moving object tracking using mobile crowd sensing
Authors
Yao, JGuo, BWang, ZLi, VOKLam, JCKYu, ZW
KeywordsMobile crowd sensing (MCS)
object movement prediction
object tracking
photograph taking
task allocation
Issue Date2018
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage.html?product=PER288-ELE
Citation
IEEE Internet of Things Journal, 2018, v. 5 n. 5, p. 3452-3463 How to Cite?
DOI: http://dx.doi.org/10.1109/JIOT.2017.2762003
Persistent Identifierhttp://hdl.handle.net/10722/263251
ISSN
2327-4662
2023 Impact Factor: 8.2
2023 SCImago Journal Rankings: 3.382
ISI Accession Number ID
WOS:000450251900022

 

DC FieldValueLanguage
dc.contributor.authorYao, J-
dc.contributor.authorGuo, B-
dc.contributor.authorWang, Z-
dc.contributor.authorLi, VOK-
dc.contributor.authorLam, JCK-
dc.contributor.authorYu, ZW-
dc.date.accessioned2018-10-22T07:35:55Z-
dc.date.available2018-10-22T07:35:55Z-
dc.date.issued2018-
dc.identifier.citationIEEE Internet of Things Journal, 2018, v. 5 n. 5, p. 3452-3463-
dc.identifier.issn2327-4662-
dc.identifier.urihttp://hdl.handle.net/10722/263251-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage.html?product=PER288-ELE-
dc.relation.ispartofIEEE Internet of Things Journal-
dc.rightsIEEE Internet of Things Journal. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectMobile crowd sensing (MCS)-
dc.subjectobject movement prediction-
dc.subjectobject tracking-
dc.subjectphotograph taking-
dc.subjecttask allocation-
dc.titleCrowdtracker: Optimized urban moving object tracking using mobile crowd sensing-
dc.typeArticle-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.emailLam, JCK: h9992013@hkucc.hku.hk-
dc.identifier.authorityLi, VOK=rp00150-
dc.identifier.authorityLam, JCK=rp00864-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/JIOT.2017.2762003-
dc.identifier.scopuseid_2-s2.0-85031780034-
dc.identifier.hkuros294261-
dc.identifier.volume5-
dc.identifier.issue5-
dc.identifier.spage3452-
dc.identifier.epage3463-
dc.identifier.isiWOS:000450251900022-
dc.publisher.placeUnited States-
dc.identifier.issnl2327-4662-

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