{"id":"https://openalex.org/W3160383538","doi":"https://doi.org/10.1109/icpr48806.2021.9412484","title":"LFIR2Pose: Pose Estimation from an Extremely Low-resolution FIR image Sequence","display_name":"LFIR2Pose: Pose Estimation from an Extremely Low-resolution FIR image Sequence","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3160383538","doi":"https://doi.org/10.1109/icpr48806.2021.9412484","mag":"3160383538"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th 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/A5110736787","display_name":"Saki Iwata","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Saki Iwata","raw_affiliation_strings":["Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027960360","display_name":"Yasutomo Kawanishi","orcid":"https://orcid.org/0000-0002-3799-4550"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasutomo Kawanishi","raw_affiliation_strings":["Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054493960","display_name":"Daisuke Deguchi","orcid":"https://orcid.org/0000-0003-0603-8790"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Deguchi","raw_affiliation_strings":["Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034941095","display_name":"Ichiro Ide","orcid":"https://orcid.org/0000-0003-3942-9296"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ichiro Ide","raw_affiliation_strings":["Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085309296","display_name":"Hiroshi Murase","orcid":"https://orcid.org/0000-0002-8103-9294"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Murase","raw_affiliation_strings":["Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102198544","display_name":"Tomoyoshi Aizawa","orcid":null},"institutions":[{"id":"https://openalex.org/I146230289","display_name":"Omron (Japan)","ror":"https://ror.org/00q0w1h45","country_code":"JP","type":"company","lineage":["https://openalex.org/I146230289"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyoshi Aizawa","raw_affiliation_strings":["OMRON Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"OMRON Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I146230289"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5110736787"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59367647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2597","last_page":"2603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9973999857902527,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7547711133956909},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7347494959831238},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7220054864883423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816318035125732},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.578285813331604},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5051067471504211},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4990575313568115},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.478878915309906},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4222065806388855},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41018927097320557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3543455898761749},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12444362044334412}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7547711133956909},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7347494959831238},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7220054864883423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816318035125732},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.578285813331604},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5051067471504211},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4990575313568115},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.478878915309906},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4222065806388855},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41018927097320557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3543455898761749},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12444362044334412},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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":18,"referenced_works":["https://openalex.org/W957840212","https://openalex.org/W1963846845","https://openalex.org/W1976771945","https://openalex.org/W1990041537","https://openalex.org/W2344597902","https://openalex.org/W2559085405","https://openalex.org/W2765493912","https://openalex.org/W2901295840","https://openalex.org/W2906848845","https://openalex.org/W2941483329","https://openalex.org/W2942421242","https://openalex.org/W2959975024","https://openalex.org/W2962773068","https://openalex.org/W2963402313","https://openalex.org/W2964221239","https://openalex.org/W6625299316","https://openalex.org/W6750378959","https://openalex.org/W6757221710"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2894986065","https://openalex.org/W4387967917","https://openalex.org/W4287600488","https://openalex.org/W4386925306","https://openalex.org/W4387968151","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W3110557940"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,61,108,121],"propose":[4,62,84,110],"a":[5,12,20,32,37,55,68,111],"method":[6],"for":[7,58,89],"human":[8,48,76,99,124,136],"pose":[9,49,77,125,137],"estimation":[10,29,43,126],"from":[11,30,142],"Low-resolution":[13],"Far-InfraRed":[14],"(LFIR)":[15],"image":[16,35,145],"sequence":[17,69],"captured":[18],"by":[19],"16":[21,23],"\u00d7":[22],"FIR":[24],"sensor":[25],"array.":[26],"Human":[27],"body":[28,100,106],"such":[31],"single":[33],"LFIR":[34,71,144],"is":[36,53,102],"hard":[38],"task.":[39],"For":[40],"training":[41],"the":[42,47,51,63,75,79,90,96,116,123],"model,":[44],"annotation":[45,87],"of":[46,70,78,98],"to":[50],"images":[52,72],"also":[54,83,109],"difficult":[56],"task":[57],"human.":[59],"Thus,":[60],"LFIR2Pose":[64],"model":[65,91],"which":[66],"accepts":[67],"and":[73,82,133],"outputs":[74],"last":[80],"frame,":[81],"an":[85,119,129,143],"automatic":[86],"system":[88],"training.":[92],"Additionally,":[93],"considering":[94],"that":[95,135],"scale":[97],"motion":[101],"largely":[103],"different":[104],"among":[105],"parts,":[107],"loss":[112],"function":[113],"focusing":[114],"on":[115],"difference.":[117],"Through":[118],"experiment,":[120],"evaluated":[122],"accuracy":[127],"with":[128],"original":[130],"data":[131],"set,":[132],"confirmed":[134],"can":[138],"be":[139],"estimated":[140],"accurately":[141],"sequence.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}