A Novel Integration of Face-Recognition Algorithms with a Soft Voting Scheme for Efficiently Tracking Missing Person in Challenging Large-Gathering Scenarios

The probability of losing vulnerable companions, such as children or older ones, in large gatherings is high, and their tracking is challenging. We proposed a novel integration of face-recognition algorithms with a soft voting scheme, which was applied, on low-resolution cropped images of detected f...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Sensors (Basel, Switzerland) Ročník 22; číslo 3; s. 1153
Hlavní autoři:	Nadeem, Adnan, Ashraf, Muhammad, Rizwan, Kashif, Qadeer, Nauman, AlZahrani, Ali, Mehmood, Amir, Abbasi, Qammer H.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 03.02.2022 MDPI
Témata:	Accuracy Algorithms Analysis Automation Cameras Child Datasets Face Facial Recognition Facial recognition technology Humans integration of face-recognition algorithms large-crowd gatherings Missing persons Mosques Politics Social networks soft voting scheme tracking missing persons Voting United States > US large-crowd gatherings soft voting scheme integration of face-recognition algorithms tracking missing persons
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	The probability of losing vulnerable companions, such as children or older ones, in large gatherings is high, and their tracking is challenging. We proposed a novel integration of face-recognition algorithms with a soft voting scheme, which was applied, on low-resolution cropped images of detected faces, in order to locate missing persons in a challenging large-crowd gathering. We considered the large-crowd gathering scenarios at Al Nabvi mosque Madinah. It is a highly uncontrolled environment with a low-resolution-images data set gathered from moving cameras. The proposed model first performs real-time face-detection from camera-captured images, and then it uses the missing person’s profile face image and applies well-known face-recognition algorithms for personal identification, and their predictions are further combined to obtain more mature prediction. The presence of a missing person is determined by a small set of consecutive frames. The novelty of this work lies in using several recognition algorithms in parallel and combining their predictions by a unique soft-voting scheme, which in return not only provides a mature prediction with spatio-temporal values but also mitigates the false results of individual recognition algorithms. The experimental results of our model showed reasonably good accuracy of missing person’s identification in an extremely challenging large-gathering scenario.
AbstractList	The probability of losing vulnerable companions, such as children or older ones, in large gatherings is high, and their tracking is challenging. We proposed a novel integration of face-recognition algorithms with a soft voting scheme, which was applied, on low-resolution cropped images of detected faces, in order to locate missing persons in a challenging large-crowd gathering. We considered the large-crowd gathering scenarios at Al Nabvi mosque Madinah. It is a highly uncontrolled environment with a low-resolution-images data set gathered from moving cameras. The proposed model first performs real-time face-detection from camera-captured images, and then it uses the missing person’s profile face image and applies well-known face-recognition algorithms for personal identification, and their predictions are further combined to obtain more mature prediction. The presence of a missing person is determined by a small set of consecutive frames. The novelty of this work lies in using several recognition algorithms in parallel and combining their predictions by a unique soft-voting scheme, which in return not only provides a mature prediction with spatio-temporal values but also mitigates the false results of individual recognition algorithms. The experimental results of our model showed reasonably good accuracy of missing person’s identification in an extremely challenging large-gathering scenario. The probability of losing vulnerable companions, such as children or older ones, in large gatherings is high, and their tracking is challenging. We proposed a novel integration of face-recognition algorithms with a soft voting scheme, which was applied, on low-resolution cropped images of detected faces, in order to locate missing persons in a challenging large-crowd gathering. We considered the large-crowd gathering scenarios at Al Nabvi mosque Madinah. It is a highly uncontrolled environment with a low-resolution-images data set gathered from moving cameras. The proposed model first performs real-time face-detection from camera-captured images, and then it uses the missing person's profile face image and applies well-known face-recognition algorithms for personal identification, and their predictions are further combined to obtain more mature prediction. The presence of a missing person is determined by a small set of consecutive frames. The novelty of this work lies in using several recognition algorithms in parallel and combining their predictions by a unique soft-voting scheme, which in return not only provides a mature prediction with spatio-temporal values but also mitigates the false results of individual recognition algorithms. The experimental results of our model showed reasonably good accuracy of missing person's identification in an extremely challenging large-gathering scenario.The probability of losing vulnerable companions, such as children or older ones, in large gatherings is high, and their tracking is challenging. We proposed a novel integration of face-recognition algorithms with a soft voting scheme, which was applied, on low-resolution cropped images of detected faces, in order to locate missing persons in a challenging large-crowd gathering. We considered the large-crowd gathering scenarios at Al Nabvi mosque Madinah. It is a highly uncontrolled environment with a low-resolution-images data set gathered from moving cameras. The proposed model first performs real-time face-detection from camera-captured images, and then it uses the missing person's profile face image and applies well-known face-recognition algorithms for personal identification, and their predictions are further combined to obtain more mature prediction. The presence of a missing person is determined by a small set of consecutive frames. The novelty of this work lies in using several recognition algorithms in parallel and combining their predictions by a unique soft-voting scheme, which in return not only provides a mature prediction with spatio-temporal values but also mitigates the false results of individual recognition algorithms. The experimental results of our model showed reasonably good accuracy of missing person's identification in an extremely challenging large-gathering scenario.
Audience	Academic
Author	AlZahrani, Ali Rizwan, Kashif Mehmood, Amir Nadeem, Adnan Abbasi, Qammer H. Ashraf, Muhammad Qadeer, Nauman
AuthorAffiliation	1 Faculty of Computer and Information System, Islamic University of Madinah, Madinah 42351, Saudi Arabia; a.alzahrani@iu.edu.sa 3 Department of Software Engineering, Faculty of Engineering, Science, Technology and Management, Ziauddin University, Karachi 74700, Pakistan; amir.mehmood@zu.edu.pk 2 Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Islamabad 45570, Pakistan; m.ashraf@fuuast.edu.pk (M.A.); kashifrizwan@fuuast.edu.pk (K.R.); nauman.qadeer@fuuast.edu.pk (N.Q.) 4 James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK; qammer.abbasi@glasgow.ac.uk
AuthorAffiliation_xml	– name: 3 Department of Software Engineering, Faculty of Engineering, Science, Technology and Management, Ziauddin University, Karachi 74700, Pakistan; amir.mehmood@zu.edu.pk – name: 4 James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK; qammer.abbasi@glasgow.ac.uk – name: 1 Faculty of Computer and Information System, Islamic University of Madinah, Madinah 42351, Saudi Arabia; a.alzahrani@iu.edu.sa – name: 2 Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Islamabad 45570, Pakistan; m.ashraf@fuuast.edu.pk (M.A.); kashifrizwan@fuuast.edu.pk (K.R.); nauman.qadeer@fuuast.edu.pk (N.Q.)
Author_xml	– sequence: 1 givenname: Adnan orcidid: 0000-0001-9622-150X surname: Nadeem fullname: Nadeem, Adnan – sequence: 2 givenname: Muhammad orcidid: 0000-0002-3437-1796 surname: Ashraf fullname: Ashraf, Muhammad – sequence: 3 givenname: Kashif orcidid: 0000-0002-5595-3867 surname: Rizwan fullname: Rizwan, Kashif – sequence: 4 givenname: Nauman orcidid: 0000-0002-2178-0435 surname: Qadeer fullname: Qadeer, Nauman – sequence: 5 givenname: Ali orcidid: 0000-0001-9501-8331 surname: AlZahrani fullname: AlZahrani, Ali – sequence: 6 givenname: Amir orcidid: 0000-0001-8689-8015 surname: Mehmood fullname: Mehmood, Amir – sequence: 7 givenname: Qammer H. orcidid: 0000-0002-7097-9969 surname: Abbasi fullname: Abbasi, Qammer H.
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/35161898$$D View this record in MEDLINE/PubMed
BookMark	eNplks1u3CAUha0qVfPTLvoCFVI37cIJGGzjTaXRKElHmv6oSbtFGF88TG1IgEmVh-m7Fs8kUZKKxUWHcz-46Bxme9ZZyLK3BB9T2uCTUBSYElLSF9kBYQXLeRL2Hu33s8MQ1hgXlFL-KtunJakIb_hB9neGvrobGNDCRui9jMZZ5DQ6kwryH6Bcb81Wmw298yauxoD-pIIkunA6ol8uGtujC7WCEZB2Hp1qbZQBG4dbdOml-j2dfzEhTPU7-JBgxqL5Sg4D2H5Sl9L3kJ_LuAK_o4GV3rjwOnup5RDgzV09yn6enV7OP-fLb-eL-WyZqxLzmEvSVRQD0Bool6WWDLCumIaKVaRUWisMDdZdKTvaFp2UNYey0i3tMJR1y-hRtthxOyfX4sqbUfpb4aQRW8H5XkgfjRpAYM2qumprpoAwzRhXpISWl7puq1o3OLE-7VhXm3aELo0SvRyeQJ-eWLMSvbsRnFNeUJ4AH-4A3l1vIEQxmqBgGKQFtwmiqIoGV6zE07vfP7Ou3cbb9FWTq-YMY1In1_HO1cs0gLHapXtVWh2MRqUoaZP0Wc1J0RS4oanh3eMRHt5-H5tkONkZlHcheNBCmbjNTiKbQRAspmCKh2Cmjo_POu6h_3v_Acns5Fo
CitedBy_id	crossref_primary_10_3390_s22145270 crossref_primary_10_1016_j_seta_2022_102603 crossref_primary_10_1016_j_jksuci_2023_101845 crossref_primary_10_3390_jimaging9020021 crossref_primary_10_32604_cmc_2023_035012
Cites_doi	10.1109/MAJICC53071.2021.9526244 10.1073/pnas.1721355115 10.3846/aviation.2019.10681 10.20944/preprints202007.0479.v1 10.1007/s00779-020-01419-x 10.12785/ijcds/0906013 10.1109/FG.2018.00121 10.3390/s21248178 10.3390/app10207213 10.3758/s13414-020-01975-7 10.1002/acp.3620 10.4236/jcc.2014.22013 10.1109/CVPR.2011.5995566 10.1109/ICCV.2009.5459250 10.1016/j.eswa.2019.112854 10.1023/A:1026501619075 10.1007/978-3-030-17795-9_10
ContentType	Journal Article
Copyright	COPYRIGHT 2022 MDPI AG 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2022 by the authors. 2022
Copyright_xml	– notice: COPYRIGHT 2022 MDPI AG – notice: 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2022 by the authors. 2022
DBID	AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA
DOI	10.3390/s22031153
DatabaseName	CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials - QC ProQuest Central ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection PML(ProQuest Medical Library) ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic
DatabaseTitleList	Publicly Available Content Database MEDLINE MEDLINE - Academic CrossRef
Database_xml	– sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: ProQuest Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1424-8220
ExternalDocumentID	oai_doaj_org_article_0f4676b74ce14f448c15eb85f7b67f90 PMC8838238 A781292093 35161898 10_3390_s22031153
Genre	Journal Article
GeographicLocations	United States--US
GeographicLocations_xml	– name: United States--US
GrantInformation_xml	– fundername: Islamic University of Madinah grantid: Tammayuz program grant number 1442/96
GroupedDBID	--- 123 2WC 53G 5VS 7X7 88E 8FE 8FG 8FI 8FJ AADQD AAHBH AAYXX ABDBF ABUWG ACUHS ADBBV ADMLS AENEX AFFHD AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS BENPR BPHCQ BVXVI CCPQU CITATION CS3 D1I DU5 E3Z EBD ESX F5P FYUFA GROUPED_DOAJ GX1 HH5 HMCUK HYE IAO ITC KQ8 L6V M1P M48 MODMG M~E OK1 OVT P2P P62 PHGZM PHGZT PIMPY PJZUB PPXIY PQQKQ PROAC PSQYO RNS RPM TUS UKHRP XSB ~8M ALIPV CGR CUY CVF ECM EIF NPM 3V. 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQUKI PRINS 7X8 PUEGO 5PM
ID	FETCH-LOGICAL-c508t-a1d630ee37e38a5fa4e0f64fe64615cffc0e90fd5ad3b2daa78e56fb3d0e57b43
IEDL.DBID	7X7
ISICitedReferencesCount	8
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000756275000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1424-8220
IngestDate	Fri Oct 03 12:53:31 EDT 2025 Tue Nov 04 01:42:23 EST 2025 Thu Sep 04 20:20:44 EDT 2025 Tue Oct 07 07:24:27 EDT 2025 Tue Nov 04 18:30:34 EST 2025 Thu Apr 03 06:56:53 EDT 2025 Sat Nov 29 07:16:10 EST 2025 Tue Nov 18 20:45:11 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	3
Keywords	large-crowd gatherings soft voting scheme integration of face-recognition algorithms tracking missing persons
Language	English
License	Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c508t-a1d630ee37e38a5fa4e0f64fe64615cffc0e90fd5ad3b2daa78e56fb3d0e57b43
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ORCID	0000-0001-9501-8331 0000-0002-5595-3867 0000-0002-3437-1796 0000-0001-8689-8015 0000-0001-9622-150X 0000-0002-7097-9969 0000-0002-2178-0435
OpenAccessLink	https://www.proquest.com/docview/2627840017?pq-origsite=%requestingapplication%
PMID	35161898
PQID	2627840017
PQPubID	2032333
ParticipantIDs	doaj_primary_oai_doaj_org_article_0f4676b74ce14f448c15eb85f7b67f90 pubmedcentral_primary_oai_pubmedcentral_nih_gov_8838238 proquest_miscellaneous_2629064504 proquest_journals_2627840017 gale_infotracacademiconefile_A781292093 pubmed_primary_35161898 crossref_citationtrail_10_3390_s22031153 crossref_primary_10_3390_s22031153
PublicationCentury	2000
PublicationDate	20220203
PublicationDateYYYYMMDD	2022-02-03
PublicationDate_xml	– month: 2 year: 2022 text: 20220203 day: 3
PublicationDecade	2020
PublicationPlace	Switzerland
PublicationPlace_xml	– name: Switzerland – name: Basel
PublicationTitle	Sensors (Basel, Switzerland)
PublicationTitleAlternate	Sensors (Basel)
PublicationYear	2022
Publisher	MDPI AG MDPI
Publisher_xml	– name: MDPI AG – name: MDPI
References	Pasztor (ref_3) 2000; 40 Nadeem (ref_19) 2020; 9 Xu (ref_12) 2014; 2 ref_13 ref_24 ref_11 ref_10 ref_21 Kramer (ref_9) 2020; 34 ref_20 Goranin (ref_8) 2019; 23 ref_1 Zangeneh (ref_6) 2020; 139 Hussain (ref_23) 2021; 11 ref_2 ref_17 Preeja (ref_15) 2016; 7 Mahmoud (ref_16) 2021; 25 Becker (ref_18) 2020; 82 Khan (ref_22) 2022; 70 ref_5 Liu (ref_4) 2018; 15 ref_7 Phillips (ref_14) 2018; 115
References_xml	– ident: ref_7 – ident: ref_20 doi: 10.1109/MAJICC53071.2021.9526244 – volume: 115 start-page: 6171 year: 2018 ident: ref_14 article-title: Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms publication-title: Proc. Nat. Acad. Sci. USA doi: 10.1073/pnas.1721355115 – volume: 23 start-page: 65 year: 2019 ident: ref_8 article-title: Method for real time face recognition application in unmanned aerial vehicles publication-title: Aviation doi: 10.3846/aviation.2019.10681 – volume: 11 start-page: 34 year: 2021 ident: ref_23 article-title: Intelligent deep learning and improved whale optimization algorithm based framework for object recognition publication-title: Hum. Cent. Comput. Inf. Sci. – ident: ref_11 doi: 10.20944/preprints202007.0479.v1 – volume: 25 start-page: 129 year: 2021 ident: ref_16 article-title: A novel technique for automated concealed face detection in surveillance videos publication-title: Pers. Ubiquitous Comput. doi: 10.1007/s00779-020-01419-x – volume: 9 start-page: 1155 year: 2020 ident: ref_19 article-title: Spatio-temporal modeling and application for efficient online reporting and tracking of lost items during Huge Crowd Gatherings publication-title: Int. J. Comput. Digit. Syst. doi: 10.12785/ijcds/0906013 – ident: ref_10 – ident: ref_13 doi: 10.1109/FG.2018.00121 – ident: ref_21 doi: 10.3390/s21248178 – ident: ref_24 doi: 10.3390/app10207213 – volume: 82 start-page: 626 year: 2020 ident: ref_18 article-title: Searching for a face in the crowd: Pitfalls and unexplored possibilities publication-title: Atten. Percept. Psychophys. doi: 10.3758/s13414-020-01975-7 – volume: 34 start-page: 343 year: 2020 ident: ref_9 article-title: Searching for faces in crowd chokepoint videos publication-title: Appl. Cogn. Psychol. doi: 10.1002/acp.3620 – volume: 2 start-page: 70 year: 2014 ident: ref_12 article-title: Low resolution face recognition in surveillance systems publication-title: J. Comput.Commun. doi: 10.4236/jcc.2014.22013 – volume: 7 start-page: 211 year: 2016 ident: ref_15 article-title: A Survey on Multiple Face Detection and Tracking in Crowds publication-title: Int. J. Innov. Eng. Technol. (IJIET) – ident: ref_5 doi: 10.1109/CVPR.2011.5995566 – ident: ref_1 – ident: ref_2 doi: 10.1109/ICCV.2009.5459250 – volume: 139 start-page: 112854 year: 2020 ident: ref_6 article-title: Low resolution face recognition using a two-branch deep convolutional neural network architecture publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2019.112854 – volume: 40 start-page: 25 year: 2000 ident: ref_3 article-title: Learning low-level vision publication-title: Int. J. Comput. Vis. doi: 10.1023/A:1026501619075 – volume: 15 start-page: 11 year: 2018 ident: ref_4 article-title: Large-scale celebfaces attributes (celeba) dataset publication-title: Retrieved August – ident: ref_17 doi: 10.1007/978-3-030-17795-9_10 – volume: 70 start-page: 2113 year: 2022 ident: ref_22 article-title: Human Gait Recognition Using Deep Learning and Improved Ant Colony Optimization publication-title: Comput. Mater. Cont.
SSID	ssj0023338
Score	2.395106
Snippet	The probability of losing vulnerable companions, such as children or older ones, in large gatherings is high, and their tracking is challenging. We proposed a...
SourceID	doaj pubmedcentral proquest gale pubmed crossref
SourceType	Open Website Open Access Repository Aggregation Database Index Database Enrichment Source
StartPage	1153
SubjectTerms	Accuracy Algorithms Analysis Automation Cameras Child Datasets Face Facial Recognition Facial recognition technology Humans integration of face-recognition algorithms large-crowd gatherings Missing persons Mosques Politics Social networks soft voting scheme tracking missing persons Voting
SummonAdditionalLinks	– databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3fi9QwEA5y-KAP4m_rnRJF0JdyaZM0yeN63KpwLoencm8lSRNvYa-V7d7B_TH-r8603bJFwRefCmlo08xMZ75k8g0hbyzobOUrnnKIl1Phiip1UgBUMQ6CJJMF7jt2_RO1WOjzc3O6U-oLc8J6euB-4g5ZBFMunBI-ZCICmPCZDE7LqFyhounQOlNmC6YGqMUBefU8QhxA_WGb5wxpZfjE-3Qk_X_-ind80TRPcsfxzO-Te0PESGf9SB-QW6F-SO7u8Ag-Ir9mdNFchxX9NJA_wGTTJtK59SH9sk0RgrbZ6kezXm4uLluKC7DU0jP4DdPvDSY_0zMQ4GWgEMbS445ZAga0uqHgzjwuqNPPICS8nnZROl3W9GgoxYKtJ5hTnn4YThTi00INQLxpH5Nv8-OvRx_Toe5C6iFc26Q2qwrOQuAqcG1ltCKwWIgYCgHxj4_Rs2BYrKStuMsra5UOsoiOVyxI5QR_Qvbqpg7PCJUqd1nmXGBGi-iVFhXmMsaMZ15yKxLybiuP0g-k5FgbY1UCOEHRlaPoEvJ67PqzZ-L4W6f3KNSxA5Jndw2gUuWgUuW_VCohb1ElSjRxGIy3w0kF-CQkyypnCqIikzMDrzvYak052H5b5gVu5qL7T8ir8TZYLW7F2Do0V10fg0yBDGbgaa9k45i5xCIGRidETdRv8lHTO_XyomMG1xq3dfXz_zEL--ROjkc9MEOdH5C9zfoqvCC3_fVm2a5fdub2G4ybMpg priority: 102 providerName: Directory of Open Access Journals
Title	A Novel Integration of Face-Recognition Algorithms with a Soft Voting Scheme for Efficiently Tracking Missing Person in Challenging Large-Gathering Scenarios
URI	https://www.ncbi.nlm.nih.gov/pubmed/35161898 https://www.proquest.com/docview/2627840017 https://www.proquest.com/docview/2629064504 https://pubmed.ncbi.nlm.nih.gov/PMC8838238 https://doaj.org/article/0f4676b74ce14f448c15eb85f7b67f90
Volume	22
WOSCitedRecordID	wos000756275000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: DOA dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD : Directory of Open Access Scholarly Resources customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: M~E dateStart: 20010101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: 7X7 dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: BENPR dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Publicly Available Content Database customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: PIMPY dateStart: 20010101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3Nb9MwFLdg4wCH8TnIGJVBSHCJ5sRJnJxQN7Uwaa2qDVA5RbZjb5W6ZDTdJC78J_yvvOe6XSsQFy6J5FiJnff8vvz8e4S8lcCzla54yMFeDhOVVaFKE3BVCgVGUhEZrh26_okYDvPxuBj5gFvr0yqXMtEJ6qrRGCM_iDPcIkOh-uHqe4hVo3B31ZfQuEu2sWw28rkY3zpcHPyvBZoQB9f-oI1jhuAyfEMHOaj-PwXymkbazJZcUz_9h_878EdkxxuetLvglMfkjqmfkAdrcIRPya8uHTY3ZkqPPYYE0Iw2lvalNuHpMtMI2rrTc_jC_OKypRjHpZKegTSnXxvMoaZnwAeXhoI1THsOoAJmNP1BQStqjMvTAdAa7yNn7NNJTY98RRdsPcHU9PCjP5iIbzM1-PNN-4x86fc-H30KffmGUIPVNw9lVGWcGcOF4blMrUwMs1liTZaAGaWt1cwUzFaprLiKKylFbtLMKl4xkwqV8F2yVTe1eUFoKmIVRUoZVuSJ1fA_K0yJtBGPdMplEpD3S4KW2mObY4mNaQk-DtK-XNE-IG9WXa8WgB5_63SIXLHqgBjcrqGZnZd-SZfMgpLJlEi0iRILbq6OUqPy1AqVCVuwgLxDnipRUsBgtPQHHmBKiLlVdgUYV0XMCvjc_pJ1Si9C2vKWbwLyevUYFj_u6MjaNNeuT4GAgwz-wPMFl67GzFOshVDkAREb_Lsxqc0n9eTCAYznOe4O53v_HtZLcj_GsyCYws73ydZ8dm1ekXv6Zj5pZx23Et0175Dtw95wdNpxAQ-4Dn72oG10PBh9-w2eNEcC
linkProvider	ProQuest
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFLbGQAIeuF8KAwwCwUs0J07i-AGhMlZWrasmtqG-Bduxt0pdMppuaD-Gv8Bv5JxculYg3vbAUyTHSmzn87nkHH-HkNcKMJuZjHsc7GUv1HHm6SgEV0VqMJKkb7mp2PUHYjhMRiO5u0J-tWdhMK2ylYmVoM4Kg__I14MYQ2QoVD-cfPewahRGV9sSGjUstu35D3DZyvf9T_B93wRBb3N_Y8trqgp4BoyRmaf8LObMWi4sT1TkVGiZi0Nn4xC0u3HOMCuZyyKVcR1kSonERrHTPGM2Ejrk8Nwr5CrIcYHOnhhdOHgc_L2avYhzydbLIGBIZsOXdF5VGuBPBbCgAZezMxfUXe_2_7ZQd8itxrCm3Xon3CUrNr9Hbi7QLd4nP7t0WJzZCe03HBmASVo42lPGel_aTCpo604OYUazo-OS4n9qqugeaCv6tcAccboHOD-2FKx9ulkRcMAKTs4paH2DcQe6A1jG627lzNBxTjeaijXYOsDUe-9zc_ASn2ZzNR0X5QNycCnr85Cs5kVuHxMaiUD7vtaWySR0Br5fhimfzue-ibgKO-RdC6DUNNztWEJkkoIPh1hL51jrkFfzric1YcnfOn1EFM47IMd41VBMD9NGZKXMgRKNtQiN9UMHbrzxI6uTyAkdCydZh7xFDKcoCWEwRjUHOmBKyCmWdgUYjzJgEl631kI1bURkmV7gtENezm-DcMOIlcptcVr1kUioyGAFHtW7Yj5mHmGtB5l0iFjaL0uTWr6Tj48qAvUkweh38uTfw3pBrm_t7wzSQX-4_ZTcCPDcC6br8zWyOpue2mfkmjmbjcvp80oKUPLtsnfTb1e4oS4
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFLZGhxA8cL8EBhgEgpeoTpybHxAq2wrVuqpiA42nYDv2VqlLRtMN7cfwR_h1nJMmoRWItz3wFMmxEtv5zi0-_g4hLyRgNtMZdzn4y26gosxVYQChilDgJAnPcF2x6w_j0Sg5OBDjNfKzOQuDaZWNTqwUdVZo_Efe9SPcIkOl2rV1WsR4q__25JuLFaRwp7Upp7GAyI45_w7hW_lmsAXf-qXv97f3Nz-4dYUBV4NjMnell0WcGcNjwxMZWhkYZqPAmigAS6-t1cwIZrNQZlz5mZRxYsLIKp4xE8Yq4PDcS2QdXPLA75D18WB3_KUN9zhEfwsuI84F65a-z5Dahq9YwKpQwJ_mYMkeruZqLhm__o3_edlukuu1y017Cxm5RdZMfptcWyJivEN-9OioODNTOqjZMwCttLC0L7VxPzY5VtDWmx7CjOZHxyXFP9hU0j2wY_RzgdnjdA8k4NhQiAPodkXNAas5PafgD2jckaC7gHK8jqswh05yulnXssHWISblu-_rI5n4NJPL2aQo75JPF7I-90gnL3LzgNAw9pXnKWWYSAKr4VtmmAxqPe7pkMvAIa8bMKW6ZnXH4iLTFKI7xF3a4s4hz9uuJwsqk791eoeIbDsg-3jVUMwO01qZpcyCeY1UHGjjBRYCfO2FRiWhjVUUW8Ec8grxnKKOhMFoWR_1gCkh21jai8GtFD4T8LqNBrZprTzL9DdmHfKsvQ1qD_eyZG6K06qPQKpFBitwfyEh7Zh5iFUgROKQeEV2Via1eiefHFXU6kmC--LJw38P6ym5AkKUDgejnUfkqo8HYjCPn2-Qznx2ah6Ty_psPilnT2qVQMnXixanXxVEq30
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Novel+Integration+of+Face-Recognition+Algorithms+with+a+Soft+Voting+Scheme+for+Efficiently+Tracking+Missing+Person+in+Challenging+Large-Gathering+Scenarios&rft.jtitle=Sensors+%28Basel%2C+Switzerland%29&rft.au=Nadeem%2C+Adnan&rft.au=Ashraf%2C+Muhammad&rft.au=Rizwan%2C+Kashif&rft.au=Qadeer%2C+Nauman&rft.date=2022-02-03&rft.eissn=1424-8220&rft.volume=22&rft.issue=3&rft_id=info:doi/10.3390%2Fs22031153&rft_id=info%3Apmid%2F35161898&rft.externalDocID=35161898
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1424-8220&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1424-8220&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1424-8220&client=summon