{"id":"https://openalex.org/W4378983377","doi":"https://doi.org/10.1142/s0218213023500409","title":"An Efficient Method for Video Object Detection in Automatic Scoring of Physical Experimental Operations","display_name":"An Efficient Method for Video Object Detection in Automatic Scoring of Physical Experimental Operations","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4378983377","doi":"https://doi.org/10.1142/s0218213023500409"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213023500409","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213023500409","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047993524","display_name":"Wenbin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Zeng","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445482","display_name":"Jichang Guo","orcid":"https://orcid.org/0000-0003-3130-1685"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jichang Guo","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China"],"raw_orcid":"https://orcid.org/0000-0003-3130-1685","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103956794","display_name":"Luguo Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luguo Hao","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101543443","display_name":"Jianfei Liu","orcid":"https://orcid.org/0000-0001-9885-1695"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfei Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100445482"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.1432,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"32","issue":"08","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8235999941825867,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8235999941825867,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8815269470214844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6107310056686401},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5877147912979126},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5738412141799927},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5168526768684387},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4949299693107605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43978917598724365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3951038718223572},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3542400002479553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33131515979766846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8815269470214844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6107310056686401},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5877147912979126},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5738412141799927},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5168526768684387},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4949299693107605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43978917598724365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3951038718223572},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3542400002479553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33131515979766846},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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":[{"id":"doi:10.1142/s0218213023500409","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213023500409","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2117539524","https://openalex.org/W3180134609"],"related_works":["https://openalex.org/W3037187668","https://openalex.org/W2380685755","https://openalex.org/W3021540629","https://openalex.org/W2252100032","https://openalex.org/W2963436428","https://openalex.org/W3171253712","https://openalex.org/W2171591485","https://openalex.org/W2732813147","https://openalex.org/W2143460112","https://openalex.org/W4292830139"],"abstract_inverted_index":{"Automatic":[0],"scoring":[1,23,81,156,176],"of":[2,24,33,39,49,53,59,71,79,86,94,104,120,146,157,168,182,209],"students\u2019":[3,25,158],"physical":[4,147],"experimental":[5,26,34,40,54,148,159,184],"operations":[6,27,35],"is":[7,28,45,69,192],"a":[8,123,152],"very":[9],"practical":[10],"application":[11,199,208],"which":[12,100],"has":[13,101],"not":[14,105],"been":[15],"researched":[16],"deeply.":[17],"The":[18,186],"common":[19],"method":[20,118,127,137,191],"for":[21,154],"automatic":[22,80,155,175],"to":[29,76,130],"infer":[30],"the":[31,37,46,51,57,72,77,92,95,102,174,179,207],"behavior":[32],"through":[36],"state":[38,52,165],"instruments.":[41,149],"Video":[42],"object":[43,88,116,215],"detection":[44,61,64,68,89,108,117],"basic":[47],"task":[48],"detecting":[50],"instruments,":[55],"and":[56,122,164,172,195],"problem":[58],"missed":[60],"or":[62],"false":[63,107],"in":[65,97,197,213],"video":[66,87,115,214],"multi-object":[67],"one":[70],"main":[73],"reasons":[74],"leading":[75],"error":[78],"results.":[82],"However,":[83],"existing":[84],"methods":[85,141,212],"mainly":[90],"improve":[91],"accuracy":[93],"model":[96],"public":[98],"datasets,":[99],"disadvantage":[103],"correcting":[106],"while":[109],"improving":[110],"accuracy.":[111],"Therefore,":[112],"an":[113],"efficient":[114,196],"composed":[119],"YOLOv5":[121],"logical":[124,210],"reasoning":[125,211],"post-processing":[126],"was":[128],"proposed":[129],"fill":[131],"this":[132,198,203],"gap.":[133],"We":[134,150,201],"compared":[135,173],"our":[136,190],"with":[138,178],"other":[139],"state-of-the-art":[140],"on":[142],"three":[143,169],"independent":[144],"datasets":[145],"established":[151],"pipeline":[153],"operations,":[160],"designed":[161],"flow":[162],"charts":[163],"score":[166],"tables":[167],"physics":[170],"experiments,":[171],"results":[177,187],"average":[180],"scores":[181],"six":[183],"teachers.":[185],"show":[188],"that":[189],"more":[193],"robust":[194],"scenario.":[200],"hope":[202],"report":[204],"can":[205],"promote":[206],"detection.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}