{"id":"https://openalex.org/W4225117683","doi":"https://doi.org/10.1142/s0218126622502140","title":"An Underground Abnormal Behavior Recognition Method Based on an Optimized Alphapose-ST-GCN","display_name":"An Underground Abnormal Behavior Recognition Method Based on an Optimized Alphapose-ST-GCN","publication_year":2022,"publication_date":"2022-04-29","ids":{"openalex":"https://openalex.org/W4225117683","doi":"https://doi.org/10.1142/s0218126622502140"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126622502140","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622502140","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"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":"Journal of Circuits, Systems and Computers","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/A5062824620","display_name":"Xiaonan Shi","orcid":"https://orcid.org/0000-0002-3085-6155"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaonan Shi","raw_affiliation_strings":["College of Computer Science and Technology, Xi\u2019an University of Science and Technology, 58 Yan ta road, Xi\u2019an, Shaanxi 710054, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0002-3085-6155","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, 58 Yan ta road, Xi\u2019an, Shaanxi 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084344775","display_name":"Jian Huang","orcid":"https://orcid.org/0000-0002-4300-7128"},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Huang","raw_affiliation_strings":["Computer School, Hubei University of Arts and Science, 296 Long Zhong Road, Xiang Yang, Hubei 441000, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer School, Hubei University of Arts and Science, 296 Long Zhong Road, Xiang Yang, Hubei 441000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210113795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705731","display_name":"Bo Huang","orcid":"https://orcid.org/0000-0002-5063-3522"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Huang","raw_affiliation_strings":["College of Computer Science and Technology, Xi\u2019an University of Science and Technology, 58 Yan ta road, Xi\u2019an, Shaanxi 710054, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, 58 Yan ta road, Xi\u2019an, Shaanxi 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084344775"],"corresponding_institution_ids":["https://openalex.org/I4210113795"],"apc_list":null,"apc_paid":null,"fwci":2.483,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87508872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/computer-science","display_name":"Computer science","score":0.7161503434181213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6383468508720398},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6249850988388062},{"id":"https://openalex.org/keywords/coal-mining","display_name":"Coal mining","score":0.5316978693008423},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5207521915435791},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4554963707923889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4538120925426483},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42657119035720825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3896288573741913},{"id":"https://openalex.org/keywords/coal","display_name":"Coal","score":0.32086101174354553},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10623016953468323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7161503434181213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6383468508720398},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6249850988388062},{"id":"https://openalex.org/C108615695","wikidata":"https://www.wikidata.org/wiki/Q12880211","display_name":"Coal mining","level":3,"score":0.5316978693008423},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5207521915435791},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4554963707923889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4538120925426483},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42657119035720825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3896288573741913},{"id":"https://openalex.org/C518851703","wikidata":"https://www.wikidata.org/wiki/Q24489","display_name":"Coal","level":2,"score":0.32086101174354553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10623016953468323},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126622502140","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622502140","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"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":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2175012183","https://openalex.org/W2290883490","https://openalex.org/W2578797046","https://openalex.org/W2962793481","https://openalex.org/W2962820842","https://openalex.org/W2963076818","https://openalex.org/W2963150697","https://openalex.org/W2963781481","https://openalex.org/W3091074232","https://openalex.org/W3116036704","https://openalex.org/W3126106273","https://openalex.org/W3147822227","https://openalex.org/W3167283626","https://openalex.org/W3168798228","https://openalex.org/W3170518756","https://openalex.org/W3170888612","https://openalex.org/W3177316514","https://openalex.org/W3186745756","https://openalex.org/W3189313199","https://openalex.org/W3190219563","https://openalex.org/W3201410046","https://openalex.org/W3201584011","https://openalex.org/W3202194958","https://openalex.org/W3210971248","https://openalex.org/W3214009653","https://openalex.org/W3217476834","https://openalex.org/W4247325251"],"related_works":["https://openalex.org/W2381456208","https://openalex.org/W2363693341","https://openalex.org/W2536695084","https://openalex.org/W2377388210","https://openalex.org/W2334274107","https://openalex.org/W2382773478","https://openalex.org/W2360786630","https://openalex.org/W4214808470","https://openalex.org/W2361854395","https://openalex.org/W2386113422"],"abstract_inverted_index":{"Due":[0],"to":[1,16],"the":[2,9,64,67,74,78,90,100,112,118,124,127,143,146,155,166,171,185,202],"complex":[3],"underground":[4,23,40,56,189,205],"environment":[5],"of":[6,12,89,103,117,126,145,179],"coal":[7,203],"mines,":[8],"unsafe":[10],"behaviors":[11],"miners":[13],"are":[14,109],"likely":[15],"lead":[17],"safety":[18],"accidents.":[19],"Therefore,":[20],"research":[21],"on":[22,29,46,201],"abnormal":[24,41,83,190],"behavior":[25,42,84,206],"recognition":[26,43,177],"methods":[27],"based":[28,45],"video":[30,58],"images":[31],"is":[32,59,71,80,98,121,130],"gradually":[33],"gaining":[34],"attention.":[35],"This":[36],"paper":[37,196],"proposes":[38],"an":[39,47,51,198],"method":[44,129],"optimized":[48,72],"Alphapose-ST-GCN.":[49],"First,":[50],"image":[52,87],"set":[53],"captured":[54],"in":[55,181,194],"monitoring":[57],"defogged":[60],"and":[61,93,111,170],"enhanced":[62],"by":[63,154],"CycleGAN.":[65],"Second,":[66],"Alphapose":[68],"target":[69],"detection":[70,134,191],"using":[73],"LTWOA-Tiny-YOLOv3":[75,119,172],"model.":[76,187],"Third,":[77],"ST-GCN":[79],"used":[81],"for":[82],"recognition.":[85],"The":[86,136,149,188],"quality":[88,144],"dataset":[91,147],"before":[92],"after":[94],"a":[95,160,175],"CycleGAN":[96,140],"enhancement":[97],"compared,":[99,110],"convergence":[101,163],"curves":[102],"LTWOA":[104],"under":[105],"four":[106],"test":[107],"functions":[108],"mean":[113],"average":[114],"accuracy":[115,178,200],"mAP":[116,182],"model":[120,173,192],"evaluated.":[122],"Finally,":[123],"performance":[125],"proposed":[128,193],"compared":[131,183],"with":[132,184],"other":[133,167],"algorithms.":[135],"results":[137],"show":[138],"that":[139],"significantly":[141],"improves":[142],"images.":[148],"whale":[150],"optimization":[151,168],"algorithm":[152],"improved":[153],"logistic-tent":[156],"chaos":[157],"mapping":[158],"has":[159,174],"more":[161],"significant":[162],"effect":[164],"than":[165],"algorithms,":[169],"better":[176],"9.1%":[180],"unoptimized":[186],"this":[195],"achieves":[197],"82.3%":[199],"mine":[204],"dataset.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
