{"id":"https://openalex.org/W4408858367","doi":"https://doi.org/10.1109/lra.2025.3554102","title":"Spatiotemporal Multi-Camera Calibration Using Freely Moving People","display_name":"Spatiotemporal Multi-Camera Calibration Using Freely Moving People","publication_year":2025,"publication_date":"2025-03-26","ids":{"openalex":"https://openalex.org/W4408858367","doi":"https://doi.org/10.1109/lra.2025.3554102"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2025.3554102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3554102","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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/A5021687190","display_name":"Sang-Eun Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sang-Eun Lee","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9941-0234","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242","https://openalex.org/I39012071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034253077","display_name":"Ko Nishino","orcid":"https://orcid.org/0000-0002-3534-3447"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ko Nishino","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3534-3447","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242","https://openalex.org/I39012071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031042114","display_name":"Shohei Nobuhara","orcid":"https://orcid.org/0000-0002-3204-8696"},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shohei Nobuhara","raw_affiliation_strings":["Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3204-8696","affiliations":[{"raw_affiliation_string":"Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0951,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74410033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"10","issue":"5","first_page":"4818","last_page":"4825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9955000281333923,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/calibration","display_name":"Calibration","score":0.6867201328277588},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5916426181793213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5060424208641052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49519720673561096},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.47722485661506653},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4297254681587219},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.4223475754261017},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2818910777568817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13718554377555847},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05479899048805237}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6867201328277588},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5916426181793213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5060424208641052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49519720673561096},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.47722485661506653},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4297254681587219},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.4223475754261017},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2818910777568817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13718554377555847},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05479899048805237}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2025.3554102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2025.3554102","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W1983126463","https://openalex.org/W2085738998","https://openalex.org/W2095126257","https://openalex.org/W2333826558"],"abstract_inverted_index":{"We":[0,39,99],"propose":[1],"a":[2,32,36,44,86,101,138,143,179],"novel":[3],"method":[4,146,177],"for":[5],"spatiotemporal":[6,112],"multi-camera":[7],"calibration":[8,182],"using":[9],"freely":[10],"moving":[11],"people":[12],"in":[13,31,58],"multi-view":[14],"videos.":[15],"Since":[16],"calibrating":[17],"multiple":[18],"cameras":[19],"and":[20,79,95,114,141,159,166,172],"finding":[21],"matches":[22],"across":[23],"their":[24],"views":[25],"are":[26,135],"inherently":[27],"interdependent,":[28],"performing":[29],"both":[30,108],"unified":[33],"framework":[34],"poses":[35,69],"significant":[37],"challenge.":[38],"address":[40],"these":[41],"issues":[42],"as":[43,178],"single":[45],"registration":[46,133],"problem":[47],"of":[48,52,110,153,174],"matching":[49],"two":[50,121],"sets":[51],"3D":[53,67,75,83],"points,":[54],"leveraging":[55],"human":[56,68,76],"motion":[57],"dynamic":[59],"multi-person":[60,160],"scenes.":[61],"To":[62],"this":[63],"end,":[64],"we":[65],"utilize":[66],"obtained":[70],"from":[71],"an":[72],"off-the-shelf":[73],"monocular":[74],"pose":[77],"estimator":[78],"transform":[80],"them":[81],"into":[82,137],"points":[84],"on":[85,164],"unit":[87],"sphere,":[88],"to":[89,149],"solve":[90,107],"the":[91,96,151,154,170,175],"rotation,":[92],"time":[93],"offset,":[94],"association":[97],"alternatingly.":[98],"employ":[100],"probabilistic":[102],"approach":[103],"that":[104],"can":[105],"jointly":[106],"problems":[109],"aligning":[111],"data":[113,168],"establishing":[115],"correspondences":[116],"through":[117],"soft":[118],"assignment":[119],"between":[120],"views.":[122],"The":[123,131],"translation":[124],"is":[125,147],"determined":[126],"by":[127],"applying":[128],"coplanarity":[129],"constraints.":[130],"pairwise":[132],"results":[134],"integrated":[136],"multiview":[139],"setup,":[140],"then":[142],"nonlinear":[144],"optimization":[145],"used":[148],"improve":[150],"accuracy":[152],"camera":[155],"poses,":[156],"temporal":[157],"offsets,":[158],"associations.":[161],"Extensive":[162],"experiments":[163],"synthetic":[165],"real":[167],"demonstrate":[169],"effectiveness":[171],"flexibility":[173],"proposed":[176],"practical":[180],"marker-free":[181],"tool.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}