{"id":"https://openalex.org/W4416011380","doi":"https://doi.org/10.1109/tpami.2025.3630317","title":"Large-Scale Omnidirectional Person Positioning","display_name":"Large-Scale Omnidirectional Person Positioning","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4416011380","doi":"https://doi.org/10.1109/tpami.2025.3630317","pmid":"https://pubmed.ncbi.nlm.nih.gov/41201944"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3630317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3630317","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lu Yang","orcid":"https://orcid.org/0000-0003-3857-3982"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Yang","raw_affiliation_strings":["Pattern Recognition and Intelligent Vision Laboratory (PRIV), Beijing University of Posts and Telecommunications, Beijing, China","Pattern Recognition and Intelligent Vision Laboratory (PRIV), Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent Vision Laboratory (PRIV), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Pattern Recognition and Intelligent Vision Laboratory (PRIV), Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014945486","display_name":"Liulei Li","orcid":"https://orcid.org/0000-0002-4637-0328"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liulei Li","raw_affiliation_strings":["Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, Hangzhou, China","Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"]},{"raw_affiliation_string":"Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020517620","display_name":"Jianan Wei","orcid":"https://orcid.org/0000-0001-7232-1434"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Wei","raw_affiliation_strings":["Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, Hangzhou, China","Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"]},{"raw_affiliation_string":"Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111169457","display_name":"Pu Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pu Cao","raw_affiliation_strings":["Pattern Recognition and Intelligent Vision Laboratory (PRIV), Beijing University of Posts and Telecommunications, Beijing, China","Pattern Recognition and Intelligent Vision Laboratory (PRIV), Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent Vision Laboratory (PRIV), Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Pattern Recognition and Intelligent Vision Laboratory (PRIV), Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767801","display_name":"Yujia Wang","orcid":"https://orcid.org/0000-0002-6733-4967"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Wang","raw_affiliation_strings":["Zhejiang Sci-Tech University (ZSTU), Hangzhou, China","Zhejiang Sci-Tech University (ZSTU), China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Sci-Tech University (ZSTU), Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]},{"raw_affiliation_string":"Zhejiang Sci-Tech University (ZSTU), China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101433884","display_name":"Wenguan Wang","orcid":"https://orcid.org/0000-0002-0802-9567"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenguan Wang","raw_affiliation_strings":["Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, Hangzhou, China","Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, China"],"affiliations":[{"raw_affiliation_string":"Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I76130692"]},{"raw_affiliation_string":"Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, China","institution_ids":["https://openalex.org/I4210100255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32751038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"3","first_page":"2870","last_page":"2885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.5773000121116638,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.5773000121116638,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.09510000050067902,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.0786999985575676,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/focus","display_name":"Focus (optics)","score":0.6017000079154968},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5156999826431274},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4812000095844269},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.45159998536109924},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.42910000681877136},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.40630000829696655},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.3912999927997589},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.38519999384880066}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7709000110626221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7483999729156494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7419999837875366},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6017000079154968},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5156999826431274},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4812000095844269},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.45159998536109924},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.40630000829696655},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.38519999384880066},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.35120001435279846},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C2777953668","wikidata":"https://www.wikidata.org/wiki/Q684116","display_name":"Omnidirectional camera","level":4,"score":0.29089999198913574},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3630317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3630317","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41201944","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41201944","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2337106423","display_name":null,"funder_award_id":"62372405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3432884132","display_name":null,"funder_award_id":"62406035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4742367875","display_name":null,"funder_award_id":"62302046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6689777572","display_name":null,"funder_award_id":"226-2025-00057","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W1616969904","https://openalex.org/W1861492603","https://openalex.org/W1883248133","https://openalex.org/W1912570122","https://openalex.org/W1963996689","https://openalex.org/W1987488988","https://openalex.org/W2009151941","https://openalex.org/W2018589614","https://openalex.org/W2043578134","https://openalex.org/W2047314391","https://openalex.org/W2054684275","https://openalex.org/W2079418687","https://openalex.org/W2080661738","https://openalex.org/W2081037310","https://openalex.org/W2085261163","https://openalex.org/W2088205157","https://openalex.org/W2094204865","https://openalex.org/W2096758544","https://openalex.org/W2100893637","https://openalex.org/W2103163130","https://openalex.org/W2108422006","https://openalex.org/W2108482152","https://openalex.org/W2108560551","https://openalex.org/W2108598243","https://openalex.org/W2113292116","https://openalex.org/W2121765205","https://openalex.org/W2130306091","https://openalex.org/W2139783272","https://openalex.org/W2150893603","https://openalex.org/W2164139712","https://openalex.org/W2166054520","https://openalex.org/W2175552186","https://openalex.org/W2200124539","https://openalex.org/W2284646714","https://openalex.org/W2402514617","https://openalex.org/W2404628386","https://openalex.org/W2556455135","https://openalex.org/W2558027072","https://openalex.org/W2568677893","https://openalex.org/W2570343428","https://openalex.org/W2584731199","https://openalex.org/W2604372349","https://openalex.org/W2605111497","https://openalex.org/W2728498859","https://openalex.org/W2737196286","https://openalex.org/W2738279610","https://openalex.org/W2740418457","https://openalex.org/W2745839262","https://openalex.org/W2765611468","https://openalex.org/W2767610279","https://openalex.org/W2783093293","https://openalex.org/W2796422723","https://openalex.org/W2866806168","https://openalex.org/W2892865870","https://openalex.org/W2900528285","https://openalex.org/W2906776738","https://openalex.org/W2918964466","https://openalex.org/W2922078872","https://openalex.org/W2943323257","https://openalex.org/W2951019013","https://openalex.org/W2962705366","https://openalex.org/W2962766617","https://openalex.org/W2962828484","https://openalex.org/W2963043350","https://openalex.org/W2963210849","https://openalex.org/W2963227409","https://openalex.org/W2963542378","https://openalex.org/W2970461331","https://openalex.org/W2982101479","https://openalex.org/W2983230029","https://openalex.org/W2991236864","https://openalex.org/W2997253623","https://openalex.org/W2998662823","https://openalex.org/W3003581603","https://openalex.org/W3003612396","https://openalex.org/W3010479006","https://openalex.org/W3032768507","https://openalex.org/W3035782943","https://openalex.org/W3090383592","https://openalex.org/W3090757175","https://openalex.org/W3091978019","https://openalex.org/W3096609285","https://openalex.org/W3098600946","https://openalex.org/W3104978629","https://openalex.org/W3118706333","https://openalex.org/W3118955432","https://openalex.org/W3138516171","https://openalex.org/W3164282918","https://openalex.org/W3176177208","https://openalex.org/W3176602998","https://openalex.org/W3215782650","https://openalex.org/W4213223073","https://openalex.org/W4319450743","https://openalex.org/W4385284367","https://openalex.org/W4390872555","https://openalex.org/W4400527950","https://openalex.org/W4401827406","https://openalex.org/W4405785827"],"related_works":[],"abstract_inverted_index":{"Location":[0],"determination":[1],"finds":[2],"wide":[3],"applications":[4],"in":[5,21,40,76,108,188,242],"daily":[6],"life.":[7],"Instead":[8],"of":[9,43,56,71,122,164,196,221,247],"existing":[10],"efforts":[11],"devoted":[12],"to":[13,68,144,178,238],"localizing":[14],"tourist":[15],"photos":[16],"captured":[17],"by":[18,59,202],"perspective":[19],"cameras,":[20],"this":[22,77],"article,":[23],"we":[24,80,153],"focus":[25],"on":[26,206,216],"devising":[27],"person":[28,90,157],"positioning":[29,148,234],"solutions":[30,37],"using":[31],"fisheye":[32,87,156,165,208,223,233],"cameras":[33,57],"mounted":[34],"overhead.":[35],"Such":[36],"are":[38,64,138,176,200],"advantageous":[39],"large":[41],"field":[42],"view":[44],"(FOV),":[45],"low":[46],"cost,":[47],"anti-occlusion,":[48],"and":[49,92,113,132,169,185,210],"unaggressive":[50],"work":[51],"mode":[52],"(without":[53],"the":[54,69,83,103,119,136,147,162,193,197,207,219],"necessity":[55],"carried":[58],"persons).":[60],"However,":[61],"related":[62],"studies":[63],"quite":[65],"scarce,":[66],"due":[67],"paucity":[70],"data.":[72,213],"To":[73,150],"stimulate":[74],"research":[75],"exciting":[78],"area,":[79],"present":[81],"LOAF,":[82],"first":[84],"large-scale":[85],"overhead":[86],"dataset":[88],"for":[89],"detection":[91,158],"localization.":[93],"LOAF":[94,217],"is":[95,236],"built":[96],"with":[97,129,244],"many":[98],"essential":[99],"features,":[100],"e.g.,":[101],"i)":[102],"data":[104],"cover":[105],"abundant":[106],"diversities":[107],"scenes,":[109],"human":[110,183],"pose,":[111],"density,":[112],"location;":[114],"ii)":[115],"it":[116],"contains":[117],"currently":[118],"largest":[120],"number":[121],"annotated":[123],"pedestrian,":[124],"i.e.,":[125],"457K":[126],"bounding":[127],"boxes":[128],"ground-truth":[130],"orientation":[131],"location":[133],"information;":[134],"iii)":[135],"body-boxes":[137],"labeled":[139],"as":[140,143],"radius-aligned":[141,182],"so":[142],"fully":[145],"address":[146],"challenge.":[149],"approach":[151],"localization,":[152],"build":[154],"a":[155,203],"network,":[159],"which":[160],"exploits":[161],"geometry":[163],"images":[166],"from":[167],"rotation-equivariance":[168],"distortion-awareness":[170],"two":[171],"perspectives.":[172],"Corresponding":[173],"training":[174],"strategies":[175],"devised":[177],"deliver":[179],"high":[180],"accuracy,":[181],"box":[184],"angle":[186],"predictions":[187],"an":[189,245],"end-to-end":[190],"manner.":[191],"Then,":[192],"actual":[194],"locations":[195],"detected":[198],"persons":[199,241],"calculated":[201],"numerical":[204],"solution":[205,235],"model":[209],"camera":[211],"altitude":[212],"Extensive":[214],"experiments":[215],"validate":[218],"superiority":[220],"our":[222,231],"detector":[224],"w.r.t.":[225],"previous":[226],"methods.":[227],"This":[228],"demonstrates":[229],"that":[230],"whole":[232],"able":[237],"locate":[239],"all":[240],"FOV":[243],"accuracy":[246],"0.5":[248],"m":[249],"within":[250],"0.1":[251],"s.":[252]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-07T00:00:00"}
