乐胖代购免代理版

{"id":"https://openalex.org/W4361221433","doi":"https://doi.org/10.1049/cvi2.12193","title":"High\u2010precision skeleton\u2010based human repetitive action counting","display_name":"High\u2010precision skeleton\u2010based human repetitive action counting","publication_year":2023,"publication_date":"2023-03-28","ids":{"openalex":"https://openalex.org/W4361221433","doi":"https://doi.org/10.1049/cvi2.12193"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1049/cvi2.12193","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cvi2.12193","source":{"id":"https://openalex.org/S166929102","display_name":"IET Computer Vision","issn_l":"1751-9632","issn":["1751-9632","1751-9640"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cvi2.12193","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103197976","display_name":"Chengxian Li","orcid":"https://orcid.org/0000-0002-1991-6874"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"funder","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxian Li","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028762600","display_name":"Ming Shao","orcid":"https://orcid.org/0000-0002-7686-8784"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"funder","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Shao","raw_affiliation_strings":["Department of Computer and Information Science, University of Massachusetts, Dartmouth, Massachusetts, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Massachusetts, Dartmouth, Massachusetts, USA","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807345","display_name":"Qirui Yang","orcid":"https://orcid.org/0000-0003-2208-3268"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"funder","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qirui Yang","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025016953","display_name":"Siyu Xia","orcid":"https://orcid.org/0000-0002-0953-6501"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"funder","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Siyu Xia","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025016953"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":2000,"currency":"EUR","value_usd":2200},"apc_paid":{"value":2000,"currency":"EUR","value_usd":2200},"fwci":0.466,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":82},"biblio":{"volume":"17","issue":"6","first_page":"700","last_page":"709"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9909,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5901789},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.4876286},{"id":"https://openalex.org/keywords/backtracking","display_name":"Backtracking","score":0.46816847},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.43362308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75115967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.64271086},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.62964207},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5922282},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5901789},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5012846},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.4876286},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.46904215},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.46816847},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43830806},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.43362308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39262223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29746974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19244167},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1049/cvi2.12193","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cvi2.12193","source":{"id":"https://openalex.org/S166929102","display_name":"IET Computer Vision","issn_l":"1751-9632","issn":["1751-9632","1751-9640"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1049/cvi2.12193","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/cvi2.12193","source":{"id":"https://openalex.org/S166929102","display_name":"IET Computer Vision","issn_l":"1751-9632","issn":["1751-9632","1751-9640"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1575912008","https://openalex.org/W2099634219","https://openalex.org/W2099783510","https://openalex.org/W2103253739","https://openalex.org/W2133441419","https://openalex.org/W2143023146","https://openalex.org/W2194775991","https://openalex.org/W2200707618","https://openalex.org/W2619947201","https://openalex.org/W2802979841","https://openalex.org/W2809072552","https://openalex.org/W2890058495","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2963076818","https://openalex.org/W2963263347","https://openalex.org/W2964134613","https://openalex.org/W3034527633","https://openalex.org/W3035551320","https://openalex.org/W3099014939","https://openalex.org/W3106350522","https://openalex.org/W3176411119","https://openalex.org/W3201524937","https://openalex.org/W3204239658","https://openalex.org/W3205995576","https://openalex.org/W4236965008","https://openalex.org/W4282981352","https://openalex.org/W4286969093"],"related_works":["https://openalex.org/W4245746077","https://openalex.org/W2783885583","https://openalex.org/W2760348722","https://openalex.org/W2371864976","https://openalex.org/W2368326437","https://openalex.org/W2364309619","https://openalex.org/W2357479099","https://openalex.org/W2120095724","https://openalex.org/W1631221657","https://openalex.org/W1525406239"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"novel":[2,70],"counting":[3,71,122,143],"model":[4,53,144],"is":[5,28,79,99,126],"presented":[6],"by":[7,64,149],"the":[8,12,24,29,51,60,135,141],"authors":[9],"to":[10,58,81,101,133],"estimate":[11],"number":[13],"of":[14,32,131,155],"repetitive":[15,40,111,120],"actions":[16],"in":[17,67,105,153,157],"temporal":[18],"3D":[19],"skeleton":[20,36,103],"data.":[21],"As":[22],"per":[23],"authors\u2019":[25,52],"knowledge,":[26],"this":[27,33],"first":[30,62],"work":[31],"kind":[34],"using":[35],"data":[37,104,113],"for":[38],"high\u2010precision":[39],"action":[41,112,121,132],"counting.":[42],"Different":[43],"from":[44],"existing":[45,146],"works":[46],"on":[47],"RGB":[48],"video":[49],"data,":[50],"follows":[54],"a":[55,117,150],"bottom\u2010up":[56],"pipeline":[57],"clip":[59],"sub\u2010action":[61],"followed":[63],"robust":[65,75],"aggregation":[66],"inference.":[68,159],"First,":[69],"loss":[72],"functions":[73],"and":[74,107],"inference":[76],"with":[77,91,128],"backtracking":[78],"proposed":[80,100,136,142],"pursue":[82],"precise":[83],"per\u2010frame":[84],"count":[85,90],"as":[86,88],"well":[87],"overall":[89],"boundary":[92],"frames.":[93],"Second,":[94],"an":[95],"efficient":[96],"synthetic":[97],"approach":[98],"augment":[102],"training":[106],"thus":[108],"avoid":[109],"time\u2010consuming":[110],"collection":[114],"work.":[115],"Finally,":[116],"challenging":[118],"human":[119],"dataset":[123],"named":[124],"VSRep":[125],"collected":[127],"various":[129],"types":[130],"evaluate":[134],"model.":[137],"Experiments":[138],"demonstrate":[139],"that":[140],"outperforms":[145],"video\u2010based":[147],"methods":[148],"large":[151],"margin":[152],"terms":[154],"accuracy":[156],"real\u2010time":[158]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4361221433","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-03-26T10:55:34.495283","created_date":"2023-03-31"}