{"id":"https://openalex.org/W2909655403","doi":"https://doi.org/10.1145/3318299.3318321","title":"Human Emotion Recognition in Video Using Subtraction Pre-Processing","display_name":"Human Emotion Recognition in Video Using Subtraction Pre-Processing","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2909655403","doi":"https://doi.org/10.1145/3318299.3318321","mag":"2909655403"},"language":"en","primary_location":{"id":"doi:10.1145/3318299.3318321","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","raw_type":"proceedings-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/A5102830244","display_name":"Zhihao He","orcid":"https://orcid.org/0009-0008-2695-137X"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]},{"id":"https://openalex.org/I92389990","display_name":"Royal College of Physicians and Surgeons of Canada","ror":"https://ror.org/05rykfp30","country_code":"CA","type":"education","lineage":["https://openalex.org/I92389990"]}],"countries":["CA","GB"],"is_corresponding":false,"raw_author_name":"Zhihao He","raw_affiliation_strings":["CeSIP, Royal College Building, University of Strathclyde, Glasgow"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CeSIP, Royal College Building, University of Strathclyde, Glasgow","institution_ids":["https://openalex.org/I181647926","https://openalex.org/I92389990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073863021","display_name":"Jin Tian","orcid":"https://orcid.org/0000-0001-5313-1600"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]},{"id":"https://openalex.org/I92389990","display_name":"Royal College of Physicians and Surgeons of Canada","ror":"https://ror.org/05rykfp30","country_code":"CA","type":"education","lineage":["https://openalex.org/I92389990"]}],"countries":["CA","GB"],"is_corresponding":false,"raw_author_name":"Tian Jin","raw_affiliation_strings":["CeSIP, Royal College Building, University of Strathclyde, Glasgow"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CeSIP, Royal College Building, University of Strathclyde, Glasgow","institution_ids":["https://openalex.org/I181647926","https://openalex.org/I92389990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083586547","display_name":"Amlan Basu","orcid":"https://orcid.org/0000-0002-0180-8090"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]},{"id":"https://openalex.org/I92389990","display_name":"Royal College of Physicians and Surgeons of Canada","ror":"https://ror.org/05rykfp30","country_code":"CA","type":"education","lineage":["https://openalex.org/I92389990"]}],"countries":["CA","GB"],"is_corresponding":false,"raw_author_name":"Amlan Basu","raw_affiliation_strings":["CeSIP, Royal College Building, University of Strathclyde, Glasgow"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CeSIP, Royal College Building, University of Strathclyde, Glasgow","institution_ids":["https://openalex.org/I181647926","https://openalex.org/I92389990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017455396","display_name":"John J. Soraghan","orcid":"https://orcid.org/0000-0003-4418-7391"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]},{"id":"https://openalex.org/I92389990","display_name":"Royal College of Physicians and Surgeons of Canada","ror":"https://ror.org/05rykfp30","country_code":"CA","type":"education","lineage":["https://openalex.org/I92389990"]}],"countries":["CA","GB"],"is_corresponding":false,"raw_author_name":"John Soraghan","raw_affiliation_strings":["CeSIP, Royal College Building, University of Strathclyde, Glasgow"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CeSIP, Royal College Building, University of Strathclyde, Glasgow","institution_ids":["https://openalex.org/I181647926","https://openalex.org/I92389990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009371598","display_name":"Gaetano Di Caterina","orcid":"https://orcid.org/0000-0002-7256-0897"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]},{"id":"https://openalex.org/I92389990","display_name":"Royal College of Physicians and Surgeons of Canada","ror":"https://ror.org/05rykfp30","country_code":"CA","type":"education","lineage":["https://openalex.org/I92389990"]}],"countries":["CA","GB"],"is_corresponding":false,"raw_author_name":"Gaetano Di Caterina","raw_affiliation_strings":["CeSIP, Royal College Building, University of Strathclyde, Glasgow"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CeSIP, Royal College Building, University of Strathclyde, Glasgow","institution_ids":["https://openalex.org/I181647926","https://openalex.org/I92389990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049987982","display_name":"Lykourgos Petropoulakis","orcid":null},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]},{"id":"https://openalex.org/I92389990","display_name":"Royal College of Physicians and Surgeons of Canada","ror":"https://ror.org/05rykfp30","country_code":"CA","type":"education","lineage":["https://openalex.org/I92389990"]}],"countries":["CA","GB"],"is_corresponding":false,"raw_author_name":"Lykourgos Petropoulakis","raw_affiliation_strings":["CeSIP, Royal College Building, University of Strathclyde, Glasgow"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CeSIP, Royal College Building, University of Strathclyde, Glasgow","institution_ids":["https://openalex.org/I181647926","https://openalex.org/I92389990"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2298,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87510962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"374","last_page":"379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8250679969787598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7358261346817017},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6766847968101501},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5607306957244873},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.5517331957817078},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.47273293137550354},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4710043966770172},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45129793882369995},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44228291511535645},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.43253758549690247},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4322040379047394},{"id":"https://openalex.org/keywords/video-content-analysis","display_name":"Video content analysis","score":0.42182859778404236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.418783038854599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3988545536994934},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3891679048538208},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.3810933828353882}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250679969787598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7358261346817017},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6766847968101501},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5607306957244873},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.5517331957817078},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.47273293137550354},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4710043966770172},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45129793882369995},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44228291511535645},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.43253758549690247},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4322040379047394},{"id":"https://openalex.org/C2778598663","wikidata":"https://www.wikidata.org/wiki/Q1407599","display_name":"Video content analysis","level":4,"score":0.42182859778404236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.418783038854599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3988545536994934},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3891679048538208},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3810933828353882},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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":2,"locations":[{"id":"doi:10.1145/3318299.3318321","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:strathprints.strath.ac.uk:65916","is_oa":false,"landing_page_url":"https://strathprints.strath.ac.uk/view/author/1042545.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306402226","display_name":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I181647926","host_organization_name":"University of Strathclyde","host_organization_lineage":["https://openalex.org/I181647926"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1947481528","https://openalex.org/W2079735306","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2217896605","https://openalex.org/W2253728219","https://openalex.org/W2277498883","https://openalex.org/W2325078646","https://openalex.org/W2606933083","https://openalex.org/W2617750261","https://openalex.org/W2618530766","https://openalex.org/W2784263859","https://openalex.org/W2792191740","https://openalex.org/W2803193013","https://openalex.org/W2803347562","https://openalex.org/W2963875208","https://openalex.org/W2971854498","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W4389850132","https://openalex.org/W1574724839","https://openalex.org/W2377190948","https://openalex.org/W2096476311","https://openalex.org/W4221117092","https://openalex.org/W4361855866","https://openalex.org/W1965900363","https://openalex.org/W169721953","https://openalex.org/W2899854151","https://openalex.org/W2746669491"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,98],"describe":[4],"a":[5,80,157,160,173],"new":[6,76,83,92,170,174,188],"image":[7],"pre-processing":[8,85,93,175],"method,":[9],"which":[10,104,196],"can":[11],"show":[12],"features":[13],"or":[14],"important":[15],"information":[16],"clearly.":[17],"Deep":[18,42],"learning":[19,37,43],"methods":[20,38],"have":[21,30],"grown":[22],"rapidly":[23],"in":[24,39,49,70,159,195],"the":[25,34,61,106,109,112,117,125,131,165,169,183,187,197],"last":[26],"ten":[27],"years":[28],"and":[29,66,72,86,123,180],"better":[31],"performance":[32],"than":[33],"traditional":[35],"machine":[36],"many":[40],"domains.":[41],"shows":[44],"its":[45],"powerful":[46],"ability":[47],"particular":[48],"difficult":[50],"multi-classes":[51],"classification":[52,64,184],"challenges.":[53],"Video":[54],"Facial":[55],"expression":[56],"recognition":[57,203],"is":[58,79,95,111,116],"one":[59],"of":[60,82,108,152,186],"most":[62],"popular":[63],"topics":[65],"will":[67],"become":[68],"essential":[69],"robotics":[71],"auto-motion":[73],"fields.":[74],"The":[75,91,144],"system":[77,171],"presented":[78],"combination":[81],"video":[84,118,132,141,146,155,167,201],"Convolutional":[87],"Neural":[88],"Network":[89],"(CNN).":[90],"method":[94,176,189],"proposed":[96],"because":[97],"believe":[99],"individual":[100],"emotions":[101],"are":[102,136],"dynamic,":[103],"means":[105],"change":[107],"face":[110],"key":[113],"feature.":[114],"RAVDESS":[115,129],"set":[119,147],"used,":[120],"to":[121],"train":[122],"test":[124],"neural":[126],"network.":[127],"From":[128],"dataset":[130,199],"songs":[133],"without":[134],"audio":[135],"taken":[137],"for":[138,200],"focusing":[139],"on":[140,164],"frames":[142],"differences.":[143],"chosen":[145,166],"has":[148,177,190],"six":[149],"different":[150],"classes":[151],"emotions.":[153],"Each":[154],"presents":[156],"sentence":[158],"melodious":[161],"way.":[162],"Based":[163],"set,":[168],"with":[172,193],"been":[178,191],"designed":[179],"trained.":[181],"Later,":[182],"result":[185],"compared":[192],"others":[194],"same":[198],"emotion":[202],"was":[204],"used.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}