Multi-algorithm Fusion Behavior Classification Method for Body Bone Information Reconstruction

Aiming at the poor measurement effect of behavior monitoring in real life,a new method of extracting human behavior features is proposed.It not only considers the body point information,but also integrates the environmental attribute information of image.Considering that a large number of existing e...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Ji suan ji ke xue Ročník 49; číslo 6; s. 269 - 275
Hlavní autoři: Zhao, Xiao-Hu, Ye, Sheng, Li, Xiao
Médium: Journal Article
Jazyk:čínština
Vydáno: Chongqing Guojia Kexue Jishu Bu 01.06.2022
Editorial office of Computer Science
Témata:
Algorithms
attention mechanism|graph convolutional network|image recognition|action classification|transformer
Classification
Convolution
Evaluation
Feature extraction
Human behavior
Image classification
Image reconstruction
Object recognition
Thermal expansion
ISSN:1002-137X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Aiming at the poor measurement effect of behavior monitoring in real life,a new method of extracting human behavior features is proposed.It not only considers the body point information,but also integrates the environmental attribute information of image.Considering that a large number of existing experiments use a variety of complex algorithms for experimental classification on the basis of human body features extraction,it does not take into account the irrationality of only using the body features for algorithm evaluation.Therefore,an image information reconstruction method based on body features is proposed in this paper,which combines the image convolution network of body features,attention mechanism and image recognition method to realize human behavior recognition.The body point information is extracted by Openpose,and then the body points are classified by graph convolution and attention.On the basis of the first classification,the body point expansion coefficient is added to segment the images so as
AbstractList Aiming at the poor measurement effect of behavior monitoring in real life,a new method of extracting human behavior features is proposed.It not only considers the body point information,but also integrates the environmental attribute information of image.Considering that a large number of existing experiments use a variety of complex algorithms for experimental classification on the basis of human body features extraction,it does not take into account the irrationality of only using the body features for algorithm evaluation.Therefore,an image information reconstruction method based on body features is proposed in this paper,which combines the image convolution network of body features,attention mechanism and image recognition method to realize human behavior recognition.The body point information is extracted by Openpose,and then the body points are classified by graph convolution and attention.On the basis of the first classification,the body point expansion coefficient is added to segment the images so as
Author Zhao, Xiao-Hu
Ye, Sheng
Li, Xiao
Author_xml – sequence: 1
  givenname: Xiao-Hu
  surname: Zhao
  fullname: Zhao, Xiao-Hu
– sequence: 2
  givenname: Sheng
  surname: Ye
  fullname: Ye, Sheng
– sequence: 3
  givenname: Xiao
  surname: Li
  fullname: Li, Xiao
BookMark eNotjkFPwzAMhXMYEmPszrES5w6nSdP2yCYGkzYhoR04UaWJs6V0zUhbxP49GUOWbL1nv0--IaPWtUjIHYUZpXkhHuqu_vyZJRRSAMhgRMYUIIkpy96vybTrbAUJEzwUHZOPzdD0NpbNznnb7w_Rcuisa6M57uW3dT5aNDJEjFWyP_sb7PdORyZs5k6fQmsxWrVBHy4Hb6hc2_V-UGd5S66MbDqc_s8J2S6ftouXeP36vFo8rmNdcBZLmQqdibQqmNRJYYpcIVOcZ2BEblBVJuWyQq0RQVNFDXKQuUoLBFB5krIJWV2w2sm6PHp7kP5UOmnLP8P5XSl9b1WDpaZATSHBME15zrQUNFMJcC0CjyEG1v2FdfTua8CuL2s3-DZ8XyYiy_M0A2DsF9FGcjI
ContentType Journal Article
Copyright Copyright Guojia Kexue Jishu Bu 2022
Copyright_xml – notice: Copyright Guojia Kexue Jishu Bu 2022
DBID 7SC
8FD
JQ2
L7M
L~C
L~D
DOA
DOI 10.11896/jsjkx.210500070
DatabaseName Computer and Information Systems Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DOAJ Directory of Open Access Journals
DatabaseTitle Computer and Information Systems Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Advanced Technologies Database with Aerospace
ProQuest Computer Science Collection
Computer and Information Systems Abstracts Professional
DatabaseTitleList Computer and Information Systems Abstracts
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EndPage 275
ExternalDocumentID oai_doaj_org_article_d101f9a0f3d1483da617c204d6c593ee
GroupedDBID -0Y
5XA
5XJ
7SC
8FD
92H
92I
ABJNI
ACGFS
ALMA_UNASSIGNED_HOLDINGS
CCEZO
CUBFJ
CW9
GROUPED_DOAJ
JQ2
L7M
L~C
L~D
TCJ
TGT
U1G
U5S
ID FETCH-LOGICAL-d943-aa56d765b93ad29f98ce3c4470f68fecbf54abeddee0d1c1fe40a8c59e00c8253
IEDL.DBID DOA
ISSN 1002-137X
IngestDate Fri Oct 03 12:52:41 EDT 2025
Mon Jun 30 05:12:08 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed false
IsScholarly true
Issue 6
Language Chinese
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-d943-aa56d765b93ad29f98ce3c4470f68fecbf54abeddee0d1c1fe40a8c59e00c8253
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink https://doaj.org/article/d101f9a0f3d1483da617c204d6c593ee
PQID 2678857003
PQPubID 2048282
PageCount 7
ParticipantIDs doaj_primary_oai_doaj_org_article_d101f9a0f3d1483da617c204d6c593ee
proquest_journals_2678857003
PublicationCentury 2000
PublicationDate 2022-06-01
PublicationDateYYYYMMDD 2022-06-01
PublicationDate_xml – month: 06
  year: 2022
  text: 2022-06-01
  day: 01
PublicationDecade 2020
PublicationPlace Chongqing
PublicationPlace_xml – name: Chongqing
PublicationTitle Ji suan ji ke xue
PublicationYear 2022
Publisher Guojia Kexue Jishu Bu
Editorial office of Computer Science
Publisher_xml – name: Guojia Kexue Jishu Bu
– name: Editorial office of Computer Science
SSID ssib023646461
ssib051375750
ssib001164759
ssj0057673
Score 2.3019214
Snippet Aiming at the poor measurement effect of behavior monitoring in real life,a new method of extracting human behavior features is proposed.It not only considers...
SourceID doaj
proquest
SourceType Open Website
Aggregation Database
StartPage 269
SubjectTerms Algorithms
attention mechanism|graph convolutional network|image recognition|action classification|transformer
Classification
Convolution
Evaluation
Feature extraction
Human behavior
Image classification
Image reconstruction
Object recognition
Thermal expansion
Title Multi-algorithm Fusion Behavior Classification Method for Body Bone Information Reconstruction
URI https://www.proquest.com/docview/2678857003
https://doaj.org/article/d101f9a0f3d1483da617c204d6c593ee
Volume 49
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  issn: 1002-137X
  databaseCode: DOA
  dateStart: 20210101
  customDbUrl:
  isFulltext: true
  dateEnd: 99991231
  titleUrlDefault: https://www.doaj.org/
  omitProxy: false
  ssIdentifier: ssj0057673
  providerName: Directory of Open Access Journals
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELZQxcDCG1EoyAOraRI7fowUUbFQMXToROT4QVugoLYg4NdzdhK1EgMLS4YkkpU7--47x_d9CF14agAUZJrABBGEWc-I9NyQMixPzsvQ7BjFJsRgIEcjdb8m9RXOhFX0wJXhuhbmjFc68dQCcqdWQ8o1WcIsN7mizoXoC6hnrZiKQCDQZK0SdWBJ52vEaXlKBeCUpInZALpFdRQ_SH1QMWp-aErFu9PF9OnzEkqjoB0QRI0juf-v2B0TUn8XbddIEl9VX7CHNr7H-2inUWnA9aI9QA-xx5bo58fX-WQ5fsH997BDhmtmxDmOupjhxFB0Er6LmtIYwCzuvdovuMwcrruW4guhYl3xzh6iYf9meH1LalUFYhWjROucW8HzUlFtM-WVNI4axkTiufTOlD5nunQQ9VxiU5N6xxItwdYuSQyUk_QItWYw8DHCLPgyEyJlxjEJT622XhppfCpSnWZt1AuWKt4q3owiMFnHG-DfovZv8Zd_26jT2Lmol9eiyCDFRmZ-evIfY5yirSx0NcTNlQ5qgQXdGdo0H8vJYn4eZ9YP0nHO8A
linkProvider Directory of Open Access Journals
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=Multi-algorithm+Fusion+Behavior+Classification+Method+for+Body+Bone+Information+Reconstruction&rft.jtitle=Ji+suan+ji+ke+xue&rft.au=Zhao%2C+Xiao-Hu&rft.au=Ye%2C+Sheng&rft.au=Li%2C+Xiao&rft.date=2022-06-01&rft.pub=Guojia+Kexue+Jishu+Bu&rft.issn=1002-137X&rft.volume=49&rft.issue=6&rft.spage=269&rft_id=info:doi/10.11896%2Fjsjkx.210500070&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1002-137X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1002-137X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1002-137X&client=summon