{"id":"https://openalex.org/W4416226972","doi":"https://doi.org/10.3390/a18110714","title":"Person Re-Identification Under Non-Overlapping Cameras Based on Advanced Contextual Embeddings","display_name":"Person Re-Identification Under Non-Overlapping Cameras Based on Advanced Contextual Embeddings","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416226972","doi":"https://doi.org/10.3390/a18110714"},"language":"en","primary_location":{"id":"doi:10.3390/a18110714","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18110714","pdf_url":null,"source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/a18110714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112058444","display_name":"Chi-Hung Chuang","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Hung Chuang","raw_affiliation_strings":["Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079218468","display_name":"T. Huang","orcid":"https://orcid.org/0000-0002-6390-7262"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tz-Chian Huang","raw_affiliation_strings":["Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan 320314, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058473995","display_name":"Che-Chuan Wang","orcid":"https://orcid.org/0009-0000-7928-0882"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chong-Wei Wang","raw_affiliation_strings":["Undergraduate Program in Intelligent Computing and Big Data, Chung Yuan Christian University, Taoyuan 320314, Taiwan"],"affiliations":[{"raw_affiliation_string":"Undergraduate Program in Intelligent Computing and Big Data, Chung Yuan Christian University, Taoyuan 320314, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077375750","display_name":"Jung-Hua Lo","orcid":"https://orcid.org/0000-0001-6251-4304"},"institutions":[{"id":"https://openalex.org/I85148518","display_name":"Fo Guang University","ror":"https://ror.org/046wjy580","country_code":"TW","type":"education","lineage":["https://openalex.org/I85148518"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jung-Hua Lo","raw_affiliation_strings":["Department of Applied Informatics, Fo-Guang University, Yilan County 262307, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Applied Informatics, Fo-Guang University, Yilan County 262307, Taiwan","institution_ids":["https://openalex.org/I85148518"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102024244","display_name":"Chih-Lung Lin","orcid":"https://orcid.org/0000-0003-0831-8251"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]},{"id":"https://openalex.org/I88780834","display_name":"Hwa Hsia University of Technology","ror":"https://ror.org/02mfjgm25","country_code":"TW","type":"education","lineage":["https://openalex.org/I88780834"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Lung Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan","Department of Electronic Engineering, Hwa-Hsia University of Technology, New Taipei City 23568, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"Department of Electronic Engineering, Hwa-Hsia University of Technology, New Taipei City 23568, Taiwan","institution_ids":["https://openalex.org/I88780834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102024244"],"corresponding_institution_ids":["https://openalex.org/I154864474","https://openalex.org/I88780834"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37057393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"11","first_page":"714","last_page":"714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9631999731063843,"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":0.9631999731063843,"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":0.012900000438094139,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.0044999998062849045,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/robustness","display_name":"Robustness (evolution)","score":0.652999997138977},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.6528000235557556},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5598999857902527},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5101000070571899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5031999945640564},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49810001254081726},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.43290001153945923},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.413100004196167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662000060081482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6671000123023987},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.652999997138977},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.6528000235557556},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5598999857902527},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5101000070571899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49810001254081726},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4036000072956085},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.38280001282691956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38040000200271606},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.3560999929904938},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a18110714","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18110714","pdf_url":null,"source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5d9e09f81ea1445992947a841098804c","is_oa":true,"landing_page_url":"https://doaj.org/article/5d9e09f81ea1445992947a841098804c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 18, Iss 11, p 714 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a18110714","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18110714","pdf_url":null,"source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1979260620","https://openalex.org/W2151103935","https://openalex.org/W2204750386","https://openalex.org/W2463071499","https://openalex.org/W2584637367","https://openalex.org/W2777534232","https://openalex.org/W2795758732","https://openalex.org/W2896016251","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963163009","https://openalex.org/W2963289251","https://openalex.org/W2963842104","https://openalex.org/W3034580371","https://openalex.org/W3115484111","https://openalex.org/W3143016713","https://openalex.org/W3173635859","https://openalex.org/W3173827247","https://openalex.org/W3194557739","https://openalex.org/W3195939161","https://openalex.org/W3205959870","https://openalex.org/W4214736485","https://openalex.org/W4285295127","https://openalex.org/W4312361652","https://openalex.org/W4312760656","https://openalex.org/W4386066150","https://openalex.org/W4390591095","https://openalex.org/W4402727273","https://openalex.org/W4402727568","https://openalex.org/W4405675242"],"related_works":[],"abstract_inverted_index":{"Person":[0],"Re-identification":[1],"(ReID),":[2],"a":[3,47,78,91,102,110,183],"critical":[4],"technology":[5],"in":[6,21,27,54,188,217],"intelligent":[7],"surveillance,":[8],"aims":[9],"to":[10,175,178,210,225],"accurately":[11],"match":[12],"specific":[13],"individuals":[14],"across":[15],"non-overlapping":[16],"camera":[17,137],"networks.":[18],"However,":[19],"factors":[20],"real-world":[22],"scenarios":[23],"such":[24],"as":[25,96,109],"variations":[26],"illumination,":[28],"viewpoint,":[29],"and":[30,100,135,148],"pose":[31],"continuously":[32],"challenge":[33],"the":[34,57,67,97,115,121,128,158,163,166,212,223,228,233,240],"matching":[35,69],"accuracy":[36],"of":[37,162,185,214],"existing":[38],"models.":[39],"Although":[40],"Transformer-based":[41],"models":[42],"like":[43],"TransReID":[44,94,180],"have":[45,62],"demonstrated":[46],"strong":[48],"capability":[49],"for":[50,64],"capturing":[51],"global":[52],"context":[53],"feature":[55,84,98,133,203,242],"extraction,":[56],"features":[58],"they":[59],"produce":[60],"still":[61],"room":[63],"optimization":[65],"at":[66],"metric":[68,124,231],"stage.":[70],"To":[71],"address":[72],"this":[73,75,118],"issue,":[74],"study":[76],"proposes":[77],"hybrid":[79],"framework":[80,119,155],"that":[81,153,195],"combines":[82],"advanced":[83,196],"extraction":[85,204],"with":[86,239],"post-processing":[87,111,197],"optimization.":[88],"We":[89],"employed":[90],"fixed,":[92],"pre-trained":[93],"model":[95],"extractor":[99,243],"introduced":[101],"camera-aware":[103],"Jaccard":[104],"distance":[105,123,230],"re-ranking":[106],"algorithm":[107],"(CA-Jaccard)":[108],"module.":[112],"Without":[113],"retraining":[114],"main":[116],"model,":[117,164],"refines":[120],"initial":[122],"matrix":[125],"by":[126],"analyzing":[127],"local":[129],"neighborhood":[130],"topology":[131],"among":[132],"vectors":[134],"incorporating":[136],"information.":[138],"Experiments":[139],"were":[140],"conducted":[141],"on":[142,171,190],"two":[143],"major":[144],"public":[145],"datasets,":[146],"Market-1501":[147,172],"MSMT17.":[149,191],"The":[150],"results":[151],"show":[152],"our":[154],"significantly":[156],"improved":[157],"overall":[159],"ranking":[160],"quality":[161],"increasing":[165],"mean":[167],"Average":[168],"Precision":[169],"(mAP)":[170],"from":[173],"88.2%":[174],"93.58%":[176],"compared":[177],"using":[179],"alone,":[181],"achieving":[182],"gain":[184],"nearly":[186],"4%":[187],"mAP":[189],"This":[192],"research":[193],"confirms":[194],"techniques":[198],"can":[199],"effectively":[200],"complement":[201],"powerful":[202],"models,":[205],"providing":[206],"an":[207],"efficient":[208],"pathway":[209],"enhance":[211],"robustness":[213],"ReID":[215,234],"systems":[216],"complex":[218],"scenarios.":[219],"Additionally,":[220],"it":[221],"is":[222],"first-ever":[224],"analyze":[226],"how":[227],"modified":[229],"improves":[232],"task":[235],"when":[236],"used":[237],"specifically":[238],"ViT-based":[241],"TransReID.":[244]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
