{"id":"https://openalex.org/W4402916182","doi":"https://doi.org/10.1109/cvprw63382.2024.00714","title":"Cluster Self-Refinement for Enhanced Online Multi-Camera People Tracking","display_name":"Cluster Self-Refinement for Enhanced Online Multi-Camera People Tracking","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4402916182","doi":"https://doi.org/10.1109/cvprw63382.2024.00714"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw63382.2024.00714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw63382.2024.00714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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/A5100396220","display_name":"Jeongho Kim","orcid":"https://orcid.org/0000-0001-7903-9140"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jeongho Kim","raw_affiliation_strings":["Nota Inc.,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Nota Inc.,Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032411063","display_name":"Wooksu Shin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wooksu Shin","raw_affiliation_strings":["Nota Inc.,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Nota Inc.,Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007866617","display_name":"Hancheol Park","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hancheol Park","raw_affiliation_strings":["Nota Inc.,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Nota Inc.,Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020354133","display_name":"Donghyuk Choi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donghyuk Choi","raw_affiliation_strings":["Nota Inc.,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Nota Inc.,Republic of Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100396220"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8369,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86918239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7190","last_page":"7197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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":0.9975000023841858,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.917900025844574,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9120000004768372,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/cluster","display_name":"Cluster (spacecraft)","score":0.7322602272033691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7058758735656738},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.617202877998352},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4976103603839874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42003053426742554},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4125560522079468},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3356131911277771},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1213424801826477},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07410567998886108}],"concepts":[{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.7322602272033691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7058758735656738},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.617202877998352},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4976103603839874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42003053426742554},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4125560522079468},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3356131911277771},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1213424801826477},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07410567998886108},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw63382.2024.00714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw63382.2024.00714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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":27,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2102605133","https://openalex.org/W2795758732","https://openalex.org/W2887213393","https://openalex.org/W2916798096","https://openalex.org/W2963150697","https://openalex.org/W3086436251","https://openalex.org/W3096609285","https://openalex.org/W4286904999","https://openalex.org/W4385801304","https://openalex.org/W4385801464","https://openalex.org/W4385801589","https://openalex.org/W4385804901","https://openalex.org/W4385804958","https://openalex.org/W4385805214","https://openalex.org/W4385815577","https://openalex.org/W4386076204","https://openalex.org/W4402916219","https://openalex.org/W6784094891","https://openalex.org/W6809665764","https://openalex.org/W6839744764","https://openalex.org/W6843239693","https://openalex.org/W6849520326","https://openalex.org/W6851225979","https://openalex.org/W6855816006"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W2626306547","https://openalex.org/W2021396365","https://openalex.org/W2394134009","https://openalex.org/W2119515433","https://openalex.org/W2009561238","https://openalex.org/W1340065","https://openalex.org/W2158788032"],"abstract_inverted_index":{"Recently,":[0],"there":[1],"has":[2],"been":[3],"a":[4,95,103,109,120],"significant":[5],"amount":[6],"of":[7,80,123],"research":[8],"on":[9,59],"Multi-Camera":[10],"People":[11],"Tracking":[12],"(MCPT).":[13],"MCPT":[14],"presents":[15,43],"more":[16],"challenges":[17],"compared":[18,50],"to":[19,28,51,57,71],"Multi-Object":[20],"Single":[21],"Camera":[22],"Tracking,":[23],"leading":[24],"many":[25],"existing":[26],"studies":[27],"address":[29,72],"them":[30],"using":[31,66],"offline":[32,35],"methods.":[33,53],"However,":[34],"methods":[36],"can":[37],"only":[38],"analyze":[39],"pre-recorded":[40],"videos,":[41],"which":[42],"less":[44],"practical":[45],"application":[46],"in":[47],"real":[48],"industries":[49],"online":[52,68,82],"Therefore,":[54],"we":[55,101],"aimed":[56],"focus":[58],"resolving":[60],"major":[61],"problems":[62,73],"that":[63,74],"arise":[64],"when":[65],"the":[67,78,81,112],"approach.":[69],"Specifically,":[70],"could":[75],"critically":[76],"affect":[77],"performance":[79],"MCPT,":[83],"such":[84],"as":[85],"storing":[86],"inaccurate":[87],"or":[88],"low-quality":[89],"appearance":[90],"features":[91],"and":[92,125],"situations":[93],"where":[94],"person":[96],"is":[97,128],"assigned":[98],"multiple":[99],"IDs,":[100],"proposed":[102],"Cluster":[104],"Self-Refinement":[105],"module.":[106],"We":[107],"achieved":[108],"third-place":[110],"at":[111,130],"2024":[113],"AI":[114],"City":[115],"Challenge":[116],"Track":[117],"1":[118],"with":[119],"HOTA":[121],"score":[122],"60.9261%,":[124],"our":[126],"code":[127],"available":[129],"https://github.com/nota-github/AIC2024_Track1_Nota.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
