Point Tracking Technology of Sports Image Sequence Marks Based on Fuzzy Clustering Algorithm
Fuzzy clustering algorithms have received widespread attention in various fields. Point tracking technology has significant application importance in sports image data analysis. In order to solve the problem of limited tracking performance caused by the fuzzy and rough division of moving image edges...
Uloženo v:
| Vydáno v: | Computational intelligence and neuroscience Ročník 2022; s. 1 - 10 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
United States
Hindawi
28.04.2022
John Wiley & Sons, Inc |
| Témata: | |
| ISSN: | 1687-5265, 1687-5273, 1687-5273 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Fuzzy clustering algorithms have received widespread attention in various fields. Point tracking technology has significant application importance in sports image data analysis. In order to solve the problem of limited tracking performance caused by the fuzzy and rough division of moving image edges, this paper proposes a point tracking technology based on a fuzzy clustering algorithm, which is used for the point tracking of moving image sequence signs. This article analyzes the development status of sports image sequence analysis and processing technology and introduces some basic theories about fuzzy clustering algorithms. On the basis of the fuzzy clustering algorithm, the positioning and tracking of the marker points of the moving image sequence are studied. A series of experiments have proved that the fuzzy clustering algorithm can improve the recognition rate of the landmark points of the moving image. For the detection and tracking of moving targets, the fuzzy clustering algorithm can reach the limit faster under the same number of iterations, and the image noise can be reduced to 60% of the original by 5 iterations. This has excellent development value in application. |
|---|---|
| AbstractList | Fuzzy clustering algorithms have received widespread attention in various fields. Point tracking technology has significant application importance in sports image data analysis. In order to solve the problem of limited tracking performance caused by the fuzzy and rough division of moving image edges, this paper proposes a point tracking technology based on a fuzzy clustering algorithm, which is used for the point tracking of moving image sequence signs. This article analyzes the development status of sports image sequence analysis and processing technology and introduces some basic theories about fuzzy clustering algorithms. On the basis of the fuzzy clustering algorithm, the positioning and tracking of the marker points of the moving image sequence are studied. A series of experiments have proved that the fuzzy clustering algorithm can improve the recognition rate of the landmark points of the moving image. For the detection and tracking of moving targets, the fuzzy clustering algorithm can reach the limit faster under the same number of iterations, and the image noise can be reduced to 60% of the original by 5 iterations. This has excellent development value in application. Fuzzy clustering algorithms have received widespread attention in various fields. Point tracking technology has significant application importance in sports image data analysis. In order to solve the problem of limited tracking performance caused by the fuzzy and rough division of moving image edges, this paper proposes a point tracking technology based on a fuzzy clustering algorithm, which is used for the point tracking of moving image sequence signs. This article analyzes the development status of sports image sequence analysis and processing technology and introduces some basic theories about fuzzy clustering algorithms. On the basis of the fuzzy clustering algorithm, the positioning and tracking of the marker points of the moving image sequence are studied. A series of experiments have proved that the fuzzy clustering algorithm can improve the recognition rate of the landmark points of the moving image. For the detection and tracking of moving targets, the fuzzy clustering algorithm can reach the limit faster under the same number of iterations, and the image noise can be reduced to 60% of the original by 5 iterations. This has excellent development value in application.Fuzzy clustering algorithms have received widespread attention in various fields. Point tracking technology has significant application importance in sports image data analysis. In order to solve the problem of limited tracking performance caused by the fuzzy and rough division of moving image edges, this paper proposes a point tracking technology based on a fuzzy clustering algorithm, which is used for the point tracking of moving image sequence signs. This article analyzes the development status of sports image sequence analysis and processing technology and introduces some basic theories about fuzzy clustering algorithms. On the basis of the fuzzy clustering algorithm, the positioning and tracking of the marker points of the moving image sequence are studied. A series of experiments have proved that the fuzzy clustering algorithm can improve the recognition rate of the landmark points of the moving image. For the detection and tracking of moving targets, the fuzzy clustering algorithm can reach the limit faster under the same number of iterations, and the image noise can be reduced to 60% of the original by 5 iterations. This has excellent development value in application. |
| Audience | Academic |
| Author | Zhang, Dengfeng Li, Yupeng |
| AuthorAffiliation | 2 College of Physical Education and Health, Linyi University, Linyi 276000, Shandong, China 1 Shandong Sport University, Jinan 250102, Shandong, China |
| AuthorAffiliation_xml | – name: 1 Shandong Sport University, Jinan 250102, Shandong, China – name: 2 College of Physical Education and Health, Linyi University, Linyi 276000, Shandong, China |
| Author_xml | – sequence: 1 givenname: Dengfeng surname: Zhang fullname: Zhang, Dengfeng organization: Shandong Sport UniversityJinan 250102ShandongChinasdpei.edu.cn – sequence: 2 givenname: Yupeng orcidid: 0000-0001-6827-1518 surname: Li fullname: Li, Yupeng organization: College of Physical Education and HealthLinyi UniversityLinyi 276000ShandongChinalyu.edu.cn |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35528353$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kU2LFDEQhoOsuB968ywBL4KOm89O-iKMg6sLKwo73oSQTlf3ZLcnGZNuZfbX282Moy7oKQV56qkq3lN0FGIAhJ5S8ppSKc8ZYeycayqYZA_QCS20mkmm-NGhLuQxOs35hhCpJGGP0DGXkmku-Qn6-jn60ONlsu7WhxYvwa1C7GK7xbHB15uY-owv17YFfA3fBggO8EebbjN-azPUOAZ8MdzdbfGiG3IPaXLMuzYm36_Wj9HDxnYZnuzfM_Tl4t1y8WF29en95WJ-NXOCFP2M80Y4TYgrmkYIqgAYQMHrRpVaKCmYJcTSSjIrXFWVVoBmuqaWS1CVKAt-ht7svJuhWkPtIPTJdmaT_NqmrYnWm79_gl-ZNn43JVG0lGoUvNgLUhyPzL1Z--yg62yAOGTDioIKLTQrR_T5PfQmDimM500UUUJLQn9Tre3A-NDEca6bpGauyKgptJYj9ezPvQ8L_4pnBF7tAJdizgmaA0KJmdI3U_pmn_6Is3u4873tfZyu9t2_ml7umlY-1PaH__-Iny9UvO4 |
| CitedBy_id | crossref_primary_10_1155_2023_9831890 crossref_primary_10_1109_ACCESS_2024_3463201 |
| Cites_doi | 10.1007/s11042-019-07787-8 10.1016/j.asoc.2019.03.043 10.1049/el.2019.1281 10.1007/s10489-016-0763-5 10.1016/j.asoc.2015.12.022 10.1007/s11042-015-2860-6 10.1155/2021/2643690 10.1007/s00521-020-05445-x 10.3390/sym13112085 10.1007/s40815-016-0206-9 10.1016/j.knosys.2016.01.001 10.1007/s00256-017-2797-0 10.1615/telecomradeng.v79.i13.80 10.1155/2021/6630130 10.1049/iet-ipr.2016.0282 10.1186/s13640-018-0322-6 10.1007/s13319-016-0089-4 10.3389/fnins.2021.714318 10.1007/s00521-020-05551-w |
| ContentType | Journal Article |
| Copyright | Copyright © 2022 Dengfeng Zhang and Yupeng Li. COPYRIGHT 2022 John Wiley & Sons, Inc. Copyright © 2022 Dengfeng Zhang and Yupeng Li. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 Copyright © 2022 Dengfeng Zhang and Yupeng Li. 2022 |
| Copyright_xml | – notice: Copyright © 2022 Dengfeng Zhang and Yupeng Li. – notice: COPYRIGHT 2022 John Wiley & Sons, Inc. – notice: Copyright © 2022 Dengfeng Zhang and Yupeng Li. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 – notice: Copyright © 2022 Dengfeng Zhang and Yupeng Li. 2022 |
| DBID | RHU RHW RHX AAYXX CITATION NPM 3V. 7QF 7QQ 7SC 7SE 7SP 7SR 7TA 7TB 7TK 7U5 7X7 7XB 8AL 8BQ 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AFKRA ARAPS AZQEC BBNVY BENPR BGLVJ BHPHI CCPQU CWDGH DWQXO F28 FR3 FYUFA GHDGH GNUQQ H8D H8G HCIFZ JG9 JQ2 K7- K9. KR7 L6V L7M LK8 L~C L~D M0N M0S M1P M7P M7S P5Z P62 PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PSYQQ PTHSS Q9U 7X8 5PM |
| DOI | 10.1155/2022/3814252 |
| DatabaseName | Hindawi Publishing Complete Hindawi Publishing Subscription Journals Hindawi Publishing Open Access CrossRef PubMed ProQuest Central (Corporate) Aluminium Industry Abstracts Ceramic Abstracts Computer and Information Systems Abstracts Corrosion Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Materials Business File Mechanical & Transportation Engineering Abstracts Neurosciences Abstracts Solid State and Superconductivity Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Computing Database (Alumni Edition) METADEX Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials - QC Biological Science Collection ProQuest Central ProQuest Technology Collection Natural Science Collection ProQuest One Middle East & Africa Database ProQuest Central ANTE: Abstracts in New Technology & Engineering Engineering Research Database Proquest Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student Aerospace Database Copper Technical Reference Library SciTech Premium Collection Materials Research Database ProQuest Computer Science Collection Computer Science Database ProQuest Health & Medical Complete (Alumni) Civil Engineering Abstracts ProQuest Engineering Collection Advanced Technologies Database with Aerospace Biological Sciences Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Computing Database ProQuest Health & Medical Collection Medical Database Biological Science Database Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Proquest Central Premium ProQuest One Academic (New) ProQuest 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 Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest One Psychology Engineering Collection ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database Materials Research Database ProQuest One Psychology Computer Science Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ProQuest Central China Materials Business File ProQuest One Applied & Life Sciences Engineered Materials Abstracts Health Research Premium Collection Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) Engineering Collection ANTE: Abstracts in New Technology & Engineering Advanced Technologies & Aerospace Collection Engineering Database Aluminium Industry Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Electronics & Communications Abstracts ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Ceramic Abstracts Biological Science Database Neurosciences Abstracts ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Solid State and Superconductivity Abstracts Engineering Research Database ProQuest One Academic ProQuest One Academic (New) Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central Aerospace Database Copper Technical Reference Library ProQuest Health & Medical Research Collection ProQuest Engineering Collection Middle East & Africa Database Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Advanced Technologies Database with Aerospace Civil Engineering Abstracts ProQuest Computing ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest SciTech Collection METADEX Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database ProQuest Medical Library Materials Science & Engineering Collection Corrosion Abstracts ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | CrossRef PubMed MEDLINE - Academic Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: RHX name: Hindawi Publishing Open Access url: http://www.hindawi.com/journals/ sourceTypes: Publisher – 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 | Anatomy & Physiology |
| EISSN | 1687-5273 |
| Editor | Sharma, Kapil |
| Editor_xml | – sequence: 1 givenname: Kapil surname: Sharma fullname: Sharma, Kapil |
| EndPage | 10 |
| ExternalDocumentID | PMC9071957 A702936885 35528353 10_1155_2022_3814252 |
| Genre | Journal Article |
| GroupedDBID | --- 188 29F 2WC 3V. 4.4 53G 5GY 5VS 6J9 7X7 8FE 8FG 8FH 8FI 8FJ 8R4 8R5 AAFWJ AAJEY AAKPC ABDBF ABIVO ABJCF ABUWG ACGFO ACIWK ACM ACPRK ADBBV ADRAZ AENEX AFKRA AHMBA AINHJ ALMA_UNASSIGNED_HOLDINGS AOIJS ARAPS AZQEC BAWUL BBNVY BCNDV BENPR BGLVJ BHPHI BPHCQ BVXVI CCPQU CS3 CWDGH DIK DWQXO E3Z EBD EBS EMOBN ESX F5P FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HMCUK HYE I-F IAO ICD INH INR IPY ITC K6V K7- KQ8 L6V LK8 M0N M1P M48 M7P M7S MK~ O5R O5S OK1 P2P P62 PIMPY PQQKQ PROAC PSQYO PSYQQ PTHSS Q2X RHU RHW RHX RNS RPM SV3 TR2 TUS UKHRP XH6 ~8M 0R~ 24P AAMMB AAYXX ACCMX ACUHS AEFGJ AFFHD AGXDD AIDQK AIDYY ALUQN CITATION H13 IHR OVT PGMZT PHGZM PHGZT PJZUB PPXIY PQGLB 2UF C1A CNMHZ CVCKV EJD IL9 NPM UZ4 7QF 7QQ 7SC 7SE 7SP 7SR 7TA 7TB 7TK 7U5 7XB 8AL 8BQ 8FD 8FK F28 FR3 H8D H8G JG9 JQ2 K9. KR7 L7M L~C L~D PKEHL PQEST PQUKI PRINS Q9U 7X8 PUEGO 5PM |
| ID | FETCH-LOGICAL-c406t-33f4c800c6ff4417ee2ee63df79847542a00a1b52a4cbb9a4e828d1a35e7b4963 |
| IEDL.DBID | RHX |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000821577800004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1687-5265 1687-5273 |
| IngestDate | Tue Nov 04 02:01:35 EST 2025 Sun Sep 28 03:51:41 EDT 2025 Sat Nov 29 14:27:42 EST 2025 Tue Nov 11 10:56:20 EST 2025 Thu Apr 03 07:05:34 EDT 2025 Sat Nov 29 02:55:51 EST 2025 Tue Nov 18 22:43:51 EST 2025 Sun Jun 02 18:52:08 EDT 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| License | This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0 Copyright © 2022 Dengfeng Zhang and Yupeng Li. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c406t-33f4c800c6ff4417ee2ee63df79847542a00a1b52a4cbb9a4e828d1a35e7b4963 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Correction/Retraction-3 Academic Editor: Kapil Sharma |
| ORCID | 0000-0001-6827-1518 |
| OpenAccessLink | https://dx.doi.org/10.1155/2022/3814252 |
| PMID | 35528353 |
| PQID | 2660748501 |
| PQPubID | 237303 |
| PageCount | 10 |
| ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_9071957 proquest_miscellaneous_2661484829 proquest_journals_2660748501 gale_infotracmisc_A702936885 pubmed_primary_35528353 crossref_primary_10_1155_2022_3814252 crossref_citationtrail_10_1155_2022_3814252 hindawi_primary_10_1155_2022_3814252 |
| PublicationCentury | 2000 |
| PublicationDate | 2022-04-28 |
| PublicationDateYYYYMMDD | 2022-04-28 |
| PublicationDate_xml | – month: 04 year: 2022 text: 2022-04-28 day: 28 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: New York |
| PublicationTitle | Computational intelligence and neuroscience |
| PublicationTitleAlternate | Comput Intell Neurosci |
| PublicationYear | 2022 |
| Publisher | Hindawi John Wiley & Sons, Inc |
| Publisher_xml | – name: Hindawi – name: John Wiley & Sons, Inc |
| References | 11 12 13 14 15 16 17 18 19 1 2 3 5 6 7 8 9 K. Wang (4) 2017; 42 20 10 |
| References_xml | – ident: 6 doi: 10.1007/s11042-019-07787-8 – ident: 9 doi: 10.1016/j.asoc.2019.03.043 – ident: 14 doi: 10.1049/el.2019.1281 – ident: 17 doi: 10.1007/s10489-016-0763-5 – ident: 2 doi: 10.1016/j.asoc.2015.12.022 – ident: 3 doi: 10.1007/s11042-015-2860-6 – ident: 10 doi: 10.1155/2021/2643690 – volume: 42 start-page: 656 issue: 2 year: 2017 ident: 4 article-title: Application of improved FCM algorithm in moving object detection publication-title: Clinica Chimica Acta – ident: 8 doi: 10.1007/s00521-020-05445-x – ident: 11 doi: 10.3390/sym13112085 – ident: 12 doi: 10.1007/s40815-016-0206-9 – ident: 16 doi: 10.1016/j.knosys.2016.01.001 – ident: 5 doi: 10.1007/s00256-017-2797-0 – ident: 18 doi: 10.1615/telecomradeng.v79.i13.80 – ident: 15 doi: 10.1155/2021/6630130 – ident: 7 doi: 10.1049/iet-ipr.2016.0282 – ident: 19 doi: 10.1186/s13640-018-0322-6 – ident: 20 doi: 10.1007/s13319-016-0089-4 – ident: 1 doi: 10.3389/fnins.2021.714318 – ident: 13 doi: 10.1007/s00521-020-05551-w |
| SSID | ssj0057502 |
| Score | 2.2592404 |
| Snippet | Fuzzy clustering algorithms have received widespread attention in various fields. Point tracking technology has significant application importance in sports... |
| SourceID | pubmedcentral proquest gale pubmed crossref hindawi |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 1 |
| SubjectTerms | Algorithms Analysis Clustering Data analysis Efficiency Fuzzy sets Image processing Methods Moving targets Noise Object recognition Sequence analysis Sports Sports training Tracking |
| SummonAdditionalLinks | – databaseName: Biological Science Database dbid: M7P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9MwED_BAGkvfA22wEBGGrygaK1jJ_YTKhMVvEyVAGkPSFFiO7RSm2xLumn767lznY4iPh54jR070fnud3e5_A7gQGsulS2SuOJWx8LKBHVOiThDPDcI0A6v-2YT2fGxOjnRk5Bwa0NZZW8TvaG2jaEc-SECCaKdkoPhu9OzmLpG0dfV0ELjNtwhlgTuS_cmvSVGT2RVc5iiIhENfF_4LiXF_PwQ0QqPLN-ApGCY700pJL6c_c7x_LV-8idAGj_431d5CPeDK8pGq7PzCG65-jHsjGoMwxdX7A3zxaE-674D3ybNrO4YIpuh3Dq7ycizpmK-VXrLPi3QOLHPoTib0W9ALXuPMGlZU7Px8vr6ih3Nl0TNQGuM5t_xqbrp4gl8HX_4cvQxDo0ZYoP438VJUgmDnqZJq4pamDnHnUsTW2UawU4KXgwGxbCUvBCmLHUhHMZ1dlgk0mWlQJV_Clt1U7s9YKW1xAEoDS-HonBpWZVO4O02S21lCxXB2142uQms5dQ8Y5776EXKnCSZB0lG8Ho9-3TF1vGHefsk5pyUGFczqFImH2UD9H1SpWQEB0H8_1qll28eNL_Nb4Qbwav1MG1A1Wy1a5Z-DkahQnEdwe7qKK03Qv-PKPCSCLKNQ7aeQHzgmyP1bOp5wTW6i1pmz_7-WM9hm16CvohxtQ9b3fnSvYC75qKbtecvvQL9APtGIIA priority: 102 providerName: ProQuest |
| Title | Point Tracking Technology of Sports Image Sequence Marks Based on Fuzzy Clustering Algorithm |
| URI | https://dx.doi.org/10.1155/2022/3814252 https://www.ncbi.nlm.nih.gov/pubmed/35528353 https://www.proquest.com/docview/2660748501 https://www.proquest.com/docview/2661484829 https://pubmed.ncbi.nlm.nih.gov/PMC9071957 |
| Volume | 2022 |
| WOSCitedRecordID | wos000821577800004&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: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5265 databaseCode: P5Z dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5265 databaseCode: M7P dateStart: 20080101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5265 databaseCode: K7- dateStart: 20080101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5265 databaseCode: M7S dateStart: 20080101 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5265 databaseCode: 7X7 dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Middle East & Africa Database customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5265 databaseCode: CWDGH dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/middleeastafrica providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5265 databaseCode: BENPR dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Publicly Available Content Database customDbUrl: eissn: 1687-5273 dateEnd: 20250131 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5265 databaseCode: PIMPY dateStart: 20080101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 1687-5273 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0057502 issn: 1687-5265 databaseCode: 24P dateStart: 20070101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3fb9MwED6xARIvCBg_MkZlpMELimgTO3Yeu2nVJkQVbSAVhBQltkMjtcnUpKDtr-fOTQsdIHixlNpxqp7P33fO9TuAwzgOhDJZ6BeBiX1uRIg-p7gvEc81ArTFz12xCTkeq8kkTjqRpOb3V_iIdhSeB28RWHB14V67owRlbp2fTtYbLhKOVWphhP5Cau_r_PYb924hT7f_3p1S5Pu9_BO_vJkm-QvujB7A_Y4wsuHKwg_hlq0ewd6wwmB5fsVeM5fC6c7G9-BLUpdVyxB_NJ2As5_n5qwumCto3rCzOW4h7KJLoWb0Z52GHSGYGVZXbLS8vr5ix7MlCSjQHMPZ13pRttP5Y_g4OvlwfOp35RN8jSjd-mFYcI18UEdFQYXGrA2sjUJTyBghSfAg6_ezQS6CjOs8jzNuMfoygywUVuYcHfMJ7FZ1ZZ8By40hpT6hg3zAMxvlRW453m5kZAqTKQ_erH_aVHfa4lTiYpa6GEOIlAyRdobw4NVm9OVKU-Mv4w7ISim5Gs6mceHrdCj7yFAipYQHh531_jXL2rRp559NirQEuZMS_YEHLzfd9ADKOatsvXRjMFbkKog9eLpaCZsHIUsjobrQA7m1RjYDSLV7u6cqp069O0ZSFwu5_3_f_jnco0t6fxWoA9htF0v7Au7ob23ZLHqwIyfStaoHt49Oxsk5Xr2Tfo9yWBPXXmCbiM_Yn5y9Tz71nO_8ABO-CIA |
| linkProvider | Hindawi Publishing |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VAoILr_IwFFiklguymqx3vfYBoVCIGqVElShSD5WMvbsmkRK71A5V-qP4jcz4kRLE49QDV-96149v5pvxjGcAtsKQy8DEnptyE7rCSA9lLhCuQj7XSNAWj1fNJtRoFBwdhQdr8L39F4bSKludWClqk2v6Rr6DRIJsF8hO983JV5e6RlF0tW2hUcNiaBdn6LIVrwfv8P1uc95_f7i75zZdBVyN5FW6npcKjWaS9tOU-m9Zy631PZOqEDW1FDzudOJuInksdJKEsbDolJhu7EmrEoF4xXWvwFXhBYrkaqjcVvOj5VPnOPoouFR2vk20l5K-MfAdZEcUEb5CgQ0RXB-TC342-Z2h-2u-5k8E2L_9vz26O3CrMbVZr5aNu7Bms3uw0cviMp8t2EtWJb9WUYUNOD7IJ1nJkLk1xQ7YRcSB5SmrWsEXbDBD5cs-NsnnjH5zKthbNAMMyzPWn5-fL9judE6lJ2iN3vQLPoVyPLsPny7lPh_AepZn9hGwxBiqcSg1T7oitn6SJlbg6Ub5JjVx4MCrFguRbqqyU3OQaVR5Z1JGhJyoQY4D28vZJ3U1kj_M2yRYRaSkcDWNKkNHPdVB284PAunAVgO3f63S4ilqNFsRXYDJgRfLYdqAsvUym8-rOehli4CHDjysobvcCO1bKvHnOaBWQL2cQPXOV0eyybiqex6iORxK9fjvl_UcbuwdftiP9gej4RO4STdE0T8ebMJ6eTq3T-Ga_lZOitNnlfAy-HzZkP8BRzp80Q |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Zb9NAEB6VcogXrnIYCixSywuykqx3fTwgFFoioqIoEiBVqNJi765JpMQutUOV_jR-HTM-UoI4nvrAa7xZx8438814Ps8A7EQRl6GJPTflJnKFkR7aXCjcAPlcI0Fb_LwaNhGMRuHhYTTegO_tuzAkq2x9YuWoTa7pGXkHiQTZLpTdXidtZBHj_cGr468uTZCiSms7TqOGyIFdnmL6Vrwc7uN_vcv54M2HvbduM2HA1Uhkpet5qdAYMmk_TWkWl7XcWt8zaRCh15aCx91u3Eskj4VOkigWFhMU04s9aYNEIHZx30twOcAck-SEY_mpZQGMgmq9o49GTC3oW9G9lPS8gXeQKdFc-BodNqRwdULp-On0d0Hvr9rNn8hwcPN_vo234EYTgrN-bTO3YcNmd2Crn8VlPl-y56wSxVbVhi04GufTrGTI6JpqCuy8EsHylFUj4gs2nKNTZu8bUTqj158K9hrDA8PyjA0WZ2dLtjdbUEsK2qM_-4J3oZzM78LHC7nOe7CZ5Zl9ACwxhnofSs2Tnoitn6SJFfh1E_gmNXHowIsWF0o33dppaMhMVVmblIpQpBoUObC7Wn1cdyn5w7ptgpgi54W7aXQlWvWDLsZ8fhhKB3Ya6P1rlxZbqvF4hToHlgPPVofpBKTiy2y-qNZg9i1CHjlwv4bx6kQY91LrP8-BYA3gqwXUB339SDadVP3QIwyTIxk8_PvPegrXEOnq3XB08Aiu0_VQUZCH27BZnizsY7iiv5XT4uRJZccMPl804n8AzFmF9Q |
| 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=Point+Tracking+Technology+of+Sports+Image+Sequence+Marks+Based+on+Fuzzy+Clustering+Algorithm&rft.jtitle=Computational+intelligence+and+neuroscience&rft.au=Zhang%2C+Dengfeng&rft.au=Li%2C+Yupeng&rft.date=2022-04-28&rft.issn=1687-5265&rft.eissn=1687-5273&rft.volume=2022&rft.spage=1&rft.epage=10&rft_id=info:doi/10.1155%2F2022%2F3814252&rft.externalDBID=n%2Fa&rft.externalDocID=10_1155_2022_3814252 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1687-5265&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1687-5265&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1687-5265&client=summon |