{"id":"https://openalex.org/W2111999896","doi":"https://doi.org/10.1109/iccomm.2014.6866671","title":"Micro-expression recognition by feature points tracking","display_name":"Micro-expression recognition by feature points tracking","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2111999896","doi":"https://doi.org/10.1109/iccomm.2014.6866671","mag":"2111999896"},"language":"en","primary_location":{"id":"doi:10.1109/iccomm.2014.6866671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccomm.2014.6866671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 10th International Conference on Communications (COMM)","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/A5053508954","display_name":"Shuoqing Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shuoqing Yao","raw_affiliation_strings":["The Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Fukuoka","Grad. Sch. of Inf., Production & Syst., WASEDA Univ., Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"The Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Fukuoka","institution_ids":["https://openalex.org/I17056963","https://openalex.org/I150744194"]},{"raw_affiliation_string":"Grad. Sch. of Inf., Production & Syst., WASEDA Univ., Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102707440","display_name":"Ning He","orcid":"https://orcid.org/0000-0003-1805-9249"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ning He","raw_affiliation_strings":["Reseach Center for Information, Production and Systems, Waseda University, Fukuoka, Japan","Reseach Center for Inf., Waseda Univ., Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Reseach Center for Information, Production and Systems, Waseda University, Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Reseach Center for Inf., Waseda Univ., Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054108949","display_name":"Huiquan Zhang","orcid":"https://orcid.org/0000-0003-1087-1208"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Huiquan Zhang","raw_affiliation_strings":["Reseach Center for Information, Production and Systems, Waseda University, Fukuoka, Japan","Reseach Center for Inf., Waseda Univ., Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Reseach Center for Information, Production and Systems, Waseda University, Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Reseach Center for Inf., Waseda Univ., Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057487414","display_name":"Osamu Yoshie","orcid":"https://orcid.org/0000-0002-4192-554X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Yoshie","raw_affiliation_strings":["The Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Fukuoka","Grad. Sch. of Inf., Production & Syst., WASEDA Univ., Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"The Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Fukuoka","institution_ids":["https://openalex.org/I17056963","https://openalex.org/I150744194"]},{"raw_affiliation_string":"Grad. Sch. of Inf., Production & Syst., WASEDA Univ., Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053508954"],"corresponding_institution_ids":["https://openalex.org/I150744194","https://openalex.org/I17056963"],"apc_list":null,"apc_paid":null,"fwci":1.4633,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86097838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9973999857902527,"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/T10057","display_name":"Face and Expression Recognition","score":0.9973999857902527,"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":0.9943000078201294,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.7480893135070801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6742178201675415},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6722623109817505},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6104278564453125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5737079977989197},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5617344379425049},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5240818858146667},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5101652145385742},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49142658710479736},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46306151151657104},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4572027623653412},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4566863775253296},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4459211230278015},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.43238285183906555},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.4107985198497772},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17558181285858154},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.15058812499046326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09975051879882812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480893135070801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6742178201675415},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6722623109817505},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6104278564453125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5737079977989197},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5617344379425049},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5240818858146667},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5101652145385742},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49142658710479736},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46306151151657104},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4572027623653412},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4566863775253296},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4459211230278015},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.43238285183906555},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.4107985198497772},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17558181285858154},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.15058812499046326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09975051879882812},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccomm.2014.6866671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccomm.2014.6866671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 10th International Conference on Communications (COMM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W65855405","https://openalex.org/W158871195","https://openalex.org/W1565206031","https://openalex.org/W1854318472","https://openalex.org/W1983014650","https://openalex.org/W1984731574","https://openalex.org/W2012160357","https://openalex.org/W2044106642","https://openalex.org/W2059068649","https://openalex.org/W2124211486","https://openalex.org/W2135931458","https://openalex.org/W2165737454","https://openalex.org/W2490787411","https://openalex.org/W4231882914","https://openalex.org/W6633567737","https://openalex.org/W6645733745","https://openalex.org/W6813665744"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W3204184292","https://openalex.org/W2055219403","https://openalex.org/W2363834444","https://openalex.org/W2003466055","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W3176564347","https://openalex.org/W2164944168"],"abstract_inverted_index":{"One":[0],"of":[1,6,77,93],"the":[2,54,69,86,108,119,133],"most":[3],"interesting":[4],"aspects":[5],"facial":[7,112],"expression":[8,113],"analysis":[9],"is":[10,33,44,122,136],"recognizing":[11,128],"micro-expression.":[12,98],"In":[13],"this":[14,81],"paper,":[15],"a":[16],"new":[17],"feature":[18,42],"tracking":[19],"and":[20,29,49,89,110,124],"alignment":[21],"approach":[22,71,82,121,135],"for":[23,38,96],"micro-expression":[24],"based":[25,45,142],"on":[26,46,107,143],"FACS":[27],"systems":[28],"Tracking":[30],"Learning":[31],"Detection(TLD)":[32],"presented.":[34],"The":[35,115],"basic":[36],"point":[37,43],"detecting":[39],"first":[40],"frame":[41],"Hough":[47],"Forest,":[48],"in":[50,75,127],"order":[51],"to":[52,84],"increase":[53],"accuracy,":[55],"we":[56,104],"extracted":[57,87],"features":[58,88],"by":[59],"Local":[60],"Binary":[61],"Pattern(LBP)":[62],"as":[63],"initialization.":[64],"Unlike":[65],"many":[66],"previous":[67,140],"works,":[68],"proposed":[70,120,134],"applies":[72],"conceptual":[73],"area":[74],"perspective":[76],"human":[78],"cognition.":[79],"And":[80],"aims":[83],"track":[85],"quantifies":[90],"changing":[91],"trend":[92],"these":[94],"points":[95],"analyzing":[97],"To":[99],"estimate":[100],"our":[101],"approach's":[102],"rationality,":[103],"conducted":[105],"experiments":[106],"CASME":[109],"SMIC":[111],"database.":[114],"results":[116],"show":[117],"that":[118],"effective":[123],"performs":[125],"well":[126],"some":[129],"specific":[130],"micro-expressions.":[131],"Furthermore,":[132],"more":[137],"accurate":[138],"than":[139],"methods":[141],"Temporal":[144],"Interpolation":[145],"Model(TIM).":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}