{"id":"https://openalex.org/W3215273707","doi":"https://doi.org/10.1109/tim.2021.3128961","title":"Metro Anomaly Detection Based on Light Strip Inductive Key Frame Extraction and MAGAN Network","display_name":"Metro Anomaly Detection Based on Light Strip Inductive Key Frame Extraction and MAGAN Network","publication_year":2021,"publication_date":"2021-11-30","ids":{"openalex":"https://openalex.org/W3215273707","doi":"https://doi.org/10.1109/tim.2021.3128961","mag":"3215273707"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3128961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3128961","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","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/A5036011791","display_name":"Ruikang Liu","orcid":"https://orcid.org/0000-0002-9828-5301"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruikang Liu","raw_affiliation_strings":["School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043154142","display_name":"Weiming Liu","orcid":"https://orcid.org/0000-0003-1819-9153"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Liu","raw_affiliation_strings":["School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101574415","display_name":"Haiyu Li","orcid":"https://orcid.org/0000-0002-2097-1061"},"institutions":[{"id":"https://openalex.org/I4210145820","display_name":"Guangzhou Metro Group (China)","ror":"https://ror.org/04gfyef21","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210145820"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyu Li","raw_affiliation_strings":["National Engineering Laboratory, Guangzhou Metro Group Company Ltd., Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory, Guangzhou Metro Group Company Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I4210145820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453944","display_name":"Heng Wang","orcid":"https://orcid.org/0000-0001-9196-7839"},"institutions":[{"id":"https://openalex.org/I4210089559","display_name":"Shenzhen Metro (China)","ror":"https://ror.org/008hpge95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210089559"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Wang","raw_affiliation_strings":["National Engineering Laboratory, Shenzhen Metro Group Company Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory, Shenzhen Metro Group Company Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I4210089559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038462308","display_name":"Qinghua Geng","orcid":"https://orcid.org/0000-0002-4463-457X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Geng","raw_affiliation_strings":["School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013271959","display_name":"Yuan Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Dai","raw_affiliation_strings":["School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5036011791"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.9595,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88824892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9271000027656555,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/anomaly-detection","display_name":"Anomaly detection","score":0.8465379476547241},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7477961778640747},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6354305744171143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203141808509827},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.559783399105072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425747632980347},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5171955823898315},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5135974884033203},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.49852466583251953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4318874478340149},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42215633392333984},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41385698318481445},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40830880403518677},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38046038150787354},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3421650826931},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1959807276725769},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13098672032356262},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12235453724861145}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8465379476547241},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7477961778640747},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6354305744171143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203141808509827},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.559783399105072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425747632980347},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5171955823898315},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5135974884033203},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.49852466583251953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4318874478340149},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42215633392333984},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41385698318481445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40830880403518677},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38046038150787354},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3421650826931},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1959807276725769},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13098672032356262},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12235453724861145},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3128961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3128961","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G2140235226","display_name":null,"funder_award_id":"2016YFB1200402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1931450083","https://openalex.org/W2118246710","https://openalex.org/W2124404372","https://openalex.org/W2144506857","https://openalex.org/W2341058432","https://openalex.org/W2395611524","https://openalex.org/W2598457882","https://openalex.org/W2599354622","https://openalex.org/W2630837129","https://openalex.org/W2735039185","https://openalex.org/W2756489700","https://openalex.org/W2777342313","https://openalex.org/W2787091153","https://openalex.org/W2791103947","https://openalex.org/W2801439730","https://openalex.org/W2809705434","https://openalex.org/W2894675256","https://openalex.org/W2924198637","https://openalex.org/W2928165649","https://openalex.org/W2941813310","https://openalex.org/W2944303778","https://openalex.org/W2953868242","https://openalex.org/W2962793481","https://openalex.org/W2963045681","https://openalex.org/W2963046013","https://openalex.org/W2966341653","https://openalex.org/W2978971541","https://openalex.org/W2982781781","https://openalex.org/W2987228832","https://openalex.org/W2990559999","https://openalex.org/W3009013436","https://openalex.org/W3016774250","https://openalex.org/W3025800305","https://openalex.org/W3034314048","https://openalex.org/W3034648032","https://openalex.org/W3040266635","https://openalex.org/W3092704883","https://openalex.org/W3100180829","https://openalex.org/W3101017490","https://openalex.org/W3105515746","https://openalex.org/W3105636206","https://openalex.org/W3106848223","https://openalex.org/W3108566774","https://openalex.org/W3124606680","https://openalex.org/W3135550350","https://openalex.org/W3160074056","https://openalex.org/W3176378302","https://openalex.org/W4245502741","https://openalex.org/W6685352114","https://openalex.org/W6748102297","https://openalex.org/W6752554887","https://openalex.org/W6763324549"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W3040099731","https://openalex.org/W4381885966","https://openalex.org/W2969399009","https://openalex.org/W2896600774"],"abstract_inverted_index":{"Abnormal":[0],"objects":[1],"in":[2,36,66,185],"the":[3,7,14,18,24,32,41,50,57,74,102,160,178,186,202,209,225],"risk":[4,204],"space":[5,205],"between":[6],"platform":[8],"door":[9,106],"and":[10,37,56,87,129,137,147,157,172,182,188,208,214,218],"train":[11,105],"will":[12],"threaten":[13],"safe":[15],"operation":[16],"of":[17,34,46,53,59,104,162,180,211,224],"metro":[19,35,123,203],"transportation":[20],"system.":[21],"However,":[22],"selecting":[23],"right":[25],"time":[26],"to":[27,100,110],"perform":[28],"anomaly":[29,69,115,124,145,193,206,212],"detection":[30,70],"during":[31,168],"process":[33],"out":[38],"station":[39],"is":[40,91,98,121,142,199],"primary":[42],"problem.":[43],"The":[44,93,170,196],"trouble":[45],"lacking":[47],"abnormal":[48,54,60],"samples,":[49],"high":[51],"imbalance":[52],"categories,":[55],"defects":[58],"regeneration":[61],"are":[62],"not":[63],"well":[64],"resolved":[65],"most":[67],"reconstruction-based":[68],"methods.":[71,227],"To":[72],"handle":[73],"aforementioned":[75],"issues,":[76],"a":[77,190],"method":[78,198],"based":[79,130],"on":[80,131,201],"light":[81,94],"strip":[82,95],"inductive":[83,96],"key":[84,112],"frame":[85],"extraction":[86],"patch-level":[88],"unsupervised":[89,118],"network":[90,127,150],"proposed.":[92],"feature":[97],"designed":[99],"simulate":[101],"status":[103],"movement,":[107],"which":[108,120,221],"contributes":[109],"extracting":[111],"frames":[113],"for":[114,144,155],"detection.":[116],"An":[117],"network,":[119],"named":[122],"generative":[125],"adversarial":[126],"(MAGAN)":[128],"dilate":[132,165],"fine-grained":[133,166],"generator,":[134],"multipatch":[135],"discriminator,":[136],"local":[138,173,183],"attention":[139,174],"reconstruction":[140,161,175],"loss,":[141],"proposed":[143,197],"classification":[146,213],"localization.":[148],"Our":[149],"only":[151],"utilizes":[152],"normal":[153],"samples":[154],"training":[156],"greatly":[158],"suppresses":[159],"abnormalities":[163],"by":[164],"generators":[167],"testing.":[169],"discriminator":[171],"loss":[176],"promote":[177],"interaction":[179],"global":[181],"information":[184],"image":[187],"provide":[189],"new":[191],"multipatch-based":[192],"localization":[194,215],"scheme.":[195],"tested":[200],"dataset,":[207],"AUCs":[210],"achieve":[216],"97.2%":[217],"96.4%,":[219],"respectively,":[220],"outperforms":[222],"those":[223],"state-of-the-art":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}