{"id":"https://openalex.org/W3149853200","doi":"https://doi.org/10.1109/ieeeconf49454.2021.9382735","title":"Effects of Video Filters for Learning an Action Recognition Model for Construction Machinery from Simulated Training Data","display_name":"Effects of Video Filters for Learning an Action Recognition Model for Construction Machinery from Simulated Training Data","publication_year":2021,"publication_date":"2021-01-11","ids":{"openalex":"https://openalex.org/W3149853200","doi":"https://doi.org/10.1109/ieeeconf49454.2021.9382735","mag":"3149853200"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf49454.2021.9382735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf49454.2021.9382735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/SICE International Symposium on System Integration (SII)","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/A5053646612","display_name":"Jinhyeok Sim","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jinhyeok Sim","raw_affiliation_strings":["Department of Precision Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051800939","display_name":"Jun Younes Louhi Kasahara","orcid":"https://orcid.org/0000-0002-5924-8858"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Younes Louhi Kasahara","raw_affiliation_strings":["Department of Precision Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059250895","display_name":"Shota Chikushi","orcid":"https://orcid.org/0000-0003-2396-1763"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shota Chikushi","raw_affiliation_strings":["Department of Precision Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050838590","display_name":"Keiji Nagatani","orcid":"https://orcid.org/0000-0003-2147-2712"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiji Nagatani","raw_affiliation_strings":["Department of Precision Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005613954","display_name":"Takumi Chiba","orcid":null},"institutions":[{"id":"https://openalex.org/I2948482138","display_name":"Fujifilm (Japan)","ror":"https://ror.org/0493bmq37","country_code":"JP","type":"company","lineage":["https://openalex.org/I2948482138"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Chiba","raw_affiliation_strings":["Fujita Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Fujita Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003807127","display_name":"Kazuhiro Chayama","orcid":null},"institutions":[{"id":"https://openalex.org/I2948482138","display_name":"Fujifilm (Japan)","ror":"https://ror.org/0493bmq37","country_code":"JP","type":"company","lineage":["https://openalex.org/I2948482138"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Chayama","raw_affiliation_strings":["Fujita Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Fujita Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021260328","display_name":"Atsushi Yamashita","orcid":"https://orcid.org/0000-0003-1280-069X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Yamashita","raw_affiliation_strings":["Department of Precision Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064103302","display_name":"Hajime Asama","orcid":"https://orcid.org/0000-0002-9482-497X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hajime Asama","raw_affiliation_strings":["Department of Precision Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Precision Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5053646612"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.2709,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50709297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"27","issue":null,"first_page":"12","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9872999787330627,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9872999787330627,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11006","display_name":"BIM and Construction Integration","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.7423046231269836},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6726496815681458},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6035286784172058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5996866226196289},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5759299993515015},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5748754143714905},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5608512163162231},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5522758364677429},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45104527473449707},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4440969228744507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20848092436790466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1526804268360138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423046231269836},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6726496815681458},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6035286784172058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996866226196289},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5759299993515015},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5748754143714905},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5608512163162231},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5522758364677429},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45104527473449707},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4440969228744507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20848092436790466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1526804268360138},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf49454.2021.9382735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf49454.2021.9382735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4099999964237213},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1929042294","https://openalex.org/W1964598692","https://openalex.org/W1999192586","https://openalex.org/W2002844166","https://openalex.org/W2036695573","https://openalex.org/W2043240677","https://openalex.org/W2082459479","https://openalex.org/W2183341477","https://openalex.org/W2704368076","https://openalex.org/W2782274301","https://openalex.org/W2942937015","https://openalex.org/W2963218601","https://openalex.org/W2994999390"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W4375867731","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W1530808388"],"abstract_inverted_index":{"In":[0],"the":[1,11,24,80,117,121,136],"construction":[2,4,30,50,77,90,148],"industry,":[3],"machinery":[5,51,149],"are":[6],"an":[7,102,143],"important":[8],"factor":[9],"in":[10,110],"overall":[12],"productivity":[13],"and":[14,43,67],"efficiency":[15],"of":[16,26,49,57,82,120,129,138],"a":[17,41,96,111],"worksite.":[18],"Thus,":[19],"emphasis":[20],"is":[21,40,52,60,86,132],"put":[22],"on":[23,72],"monitoring":[25],"actions":[27],"conducted":[28],"by":[29,37,63],"machinery.":[31,78,91],"This":[32],"was":[33],"traditionally":[34],"done":[35],"manually":[36],"humans,":[38],"which":[39],"timeconsuming":[42],"laborious":[44],"task.":[45],"Automatic":[46],"action":[47,58,103,144],"recognition":[48,59,104,145],"therefore":[53,133],"needed.":[54],"The":[55,127],"field":[56],"predominantly":[61],"occupied":[62],"Deep":[64,97],"Learning":[65,98],"approaches":[66,75],"several":[68],"previous":[69,93],"works":[70],"focused":[71],"adapting":[73],"such":[74],"for":[76,89,100,141,147],"However,":[79],"issue":[81],"obtaining":[83],"training":[84,107,152],"data":[85,108],"particularly":[87],"troublesome":[88],"Our":[92],"work":[94],"proposed":[95],"method":[99],"learning":[101,142],"model":[105,146],"from":[106,150],"generated":[109],"simulator":[112],"using":[113],"video":[114,123,139],"filters":[115,140],"but":[116],"precise":[118],"contributions":[119],"introduced":[122],"filter":[124],"were":[125],"unclear.":[126],"purpose":[128],"this":[130],"study":[131],"to":[134],"clarify":[135],"effects":[137],"simulated":[151],"data.":[153]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
