{"id":"https://openalex.org/W4313196901","doi":"https://doi.org/10.1109/icpr56361.2022.9956586","title":"Simple Yet Effective Approach to Repetitive Behavior Classification based on Siamese Network","display_name":"Simple Yet Effective Approach to Repetitive Behavior Classification based on Siamese Network","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4313196901","doi":"https://doi.org/10.1109/icpr56361.2022.9956586"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956586","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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/A5065075228","display_name":"Cheol-Hwan Yoo","orcid":"https://orcid.org/0000-0002-4185-5211"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cheol-Hwan Yoo","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI),Artificial Intelligence Research Laboratory,Daejeon,South Korea","Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI),Artificial Intelligence Research Laboratory,Daejeon,South Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101596480","display_name":"Jang\u2010Hee Yoo","orcid":"https://orcid.org/0000-0003-0495-9211"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jang-Hee Yoo","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI),Artificial Intelligence Research Laboratory,Daejeon,South Korea","Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI),Artificial Intelligence Research Laboratory,Daejeon,South Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101975138","display_name":"Howon Kim","orcid":"https://orcid.org/0000-0001-8475-7294"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ho-Won Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI),Artificial Intelligence Research Laboratory,Daejeon,South Korea","Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI),Artificial Intelligence Research Laboratory,Daejeon,South Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076396787","display_name":"ByungOk Han","orcid":"https://orcid.org/0000-0001-8428-4239"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"ByungOk Han","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI),Artificial Intelligence Research Laboratory,Daejeon,South Korea","Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI),Artificial Intelligence Research Laboratory,Daejeon,South Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16909207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"2993","last_page":"2999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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/T11714","display_name":"Multimodal Machine Learning Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9718000292778015,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7879973649978638},{"id":"https://openalex.org/keywords/repetition","display_name":"Repetition (rhetorical device)","score":0.7592686414718628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6170642971992493},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5673922300338745},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5221831798553467},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5104430913925171},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4987301826477051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4601458013057709},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4560049772262573},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41930100321769714},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.41811999678611755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3945121169090271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7879973649978638},{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.7592686414718628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6170642971992493},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5673922300338745},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5221831798553467},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5104430913925171},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4987301826477051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4601458013057709},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4560049772262573},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41930100321769714},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.41811999678611755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3945121169090271},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956586","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1522734439","https://openalex.org/W2044023374","https://openalex.org/W2092444470","https://openalex.org/W2098326400","https://openalex.org/W2143023146","https://openalex.org/W2166732304","https://openalex.org/W2183341477","https://openalex.org/W2187089797","https://openalex.org/W2200707618","https://openalex.org/W2559952875","https://openalex.org/W2590683580","https://openalex.org/W2619947201","https://openalex.org/W2790621244","https://openalex.org/W2883429621","https://openalex.org/W2890058495","https://openalex.org/W2902117623","https://openalex.org/W2963073306","https://openalex.org/W2963155035","https://openalex.org/W2963273301","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W3034491703","https://openalex.org/W3034527633","https://openalex.org/W3126721948","https://openalex.org/W3138516171","https://openalex.org/W3161974810","https://openalex.org/W3170874841","https://openalex.org/W3171007011","https://openalex.org/W3176411119","https://openalex.org/W4214612132","https://openalex.org/W4287828713","https://openalex.org/W4288092575","https://openalex.org/W4312560592","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6769158158","https://openalex.org/W6774433549","https://openalex.org/W6788135285","https://openalex.org/W6790307280","https://openalex.org/W6797737728","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2996195527","https://openalex.org/W2978375718","https://openalex.org/W2612358220","https://openalex.org/W2351132524","https://openalex.org/W2916738897","https://openalex.org/W2392934913","https://openalex.org/W2003474770","https://openalex.org/W2801329620","https://openalex.org/W3011277146","https://openalex.org/W3123757783"],"abstract_inverted_index":{"Conventional":[0],"studies":[1],"dealing":[2],"with":[3,63,110],"repetition":[4,84,101],"detection":[5],"have":[6],"mainly":[7],"focused":[8],"on":[9,191],"tasks":[10,106],"of":[11,18,58,81,124,132,161],"temporal":[12,90,104],"localization":[13],"or":[14],"counting":[15,102],"the":[16,50,53,89,99,122,130,133,152,158,167,211],"number":[17],"repetitions":[19],"in":[20,30,52,61],"videos.":[21],"However,":[22],"direct":[23],"discrimination":[24],"between":[25,83],"repetitive":[26,33,59,162],"and":[27,45,68,73,85,92,103,113,172,175],"non-repetitive":[28],"behaviors":[29,60],"videos,":[31],"called":[32],"behavior":[34],"classification":[35,57,201],"(RBC),":[36],"has":[37],"attracted":[38],"less":[39],"attention":[40],"despite":[41],"its":[42],"great":[43],"potential":[44],"advantages":[46],"of:":[47],"1)":[48],"filling":[49],"demands":[51],"fields":[54],"such":[55],"as":[56],"children":[62],"autism":[64],"spectrum":[65],"disorder":[66],"(ASD)":[67],"helping":[69],"to":[70,98,121,156,208],"alleviate":[71],"manual":[72,115],"time-consuming":[74],"diagnostic":[75],"procedures,":[76],"2)":[77],"directly":[78],"learning":[79,137],"representation":[80],"differences":[82],"non-repetition":[86],"patterns":[87],"along":[88],"dimension,":[91],"3)":[93],"being":[94],"an":[95],"effective":[96,146],"alternative":[97],"existing":[100],"segmentation":[105],"that":[107,150],"are":[108],"struggling":[109],"insufficient":[111],"data":[112],"laborious":[114],"annotation":[116],"effort.":[117],"In":[118],"this":[119],"paper,":[120],"best":[123],"our":[125,180,184,206],"knowledge,":[126],"we":[127,141,186],"firstly":[128],"cast":[129],"problem":[131],"RBC":[134,168,192,212],"using":[135],"deep":[136],"frameworks.":[138],"For":[139],"this,":[140],"propose":[142],"a":[143],"simple":[144],"yet":[145],"add-on":[147],"network,":[148],"SiRepNet,":[149],"exploits":[151],"Siamese":[153],"network":[154],"structure":[155],"learn":[157],"inherent":[159],"properties":[160],"behaviors.":[163],"We":[164],"also":[165],"composed":[166],"dataset":[169],"by":[170,203],"re-purposing":[171],"re-organizing":[173],"Kinetics":[174],"Countix":[176],"datasets":[177],"for":[178,210],"training":[179],"method.":[181],"To":[182],"validate":[183],"ideas,":[185],"carried":[187],"out":[188],"extensive":[189],"experiments":[190],"datasets,":[193],"which":[194],"showed":[195],"performance":[196],"improvement":[197],"over":[198],"state-of-the-art":[199],"video":[200],"algorithms":[202],"simply":[204],"attaching":[205],"scheme":[207],"them":[209],"task.":[213]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
