{"id":"https://openalex.org/W4308831612","doi":"https://doi.org/10.48550/arxiv.2211.04656","title":"MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification","display_name":"MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification","publication_year":2022,"publication_date":"2022-11-09","ids":{"openalex":"https://openalex.org/W4308831612","doi":"https://doi.org/10.48550/arxiv.2211.04656"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2211.04656","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.04656","pdf_url":"https://arxiv.org/pdf/2211.04656","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2211.04656","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103180319","display_name":"Daniel D\u00e1vila","orcid":"https://orcid.org/0000-0001-8568-9174"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Davila, Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027501592","display_name":"Dawei Du","orcid":"https://orcid.org/0000-0001-9404-524X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Dawei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091026608","display_name":"Bryon Lewis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lewis, Bryon","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033755985","display_name":"Christopher Funk","orcid":"https://orcid.org/0000-0001-6613-7374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Funk, Christopher","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036810251","display_name":"Jos van Pelt","orcid":"https://orcid.org/0000-0001-6903-4338"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van Pelt, Joseph","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042102948","display_name":"Roderick Collins","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Collins, Roderick","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001039464","display_name":"Kellie Corona","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Corona, Kellie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006817439","display_name":"Matthew A. Brown","orcid":"https://orcid.org/0000-0003-0538-8211"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brown, Matt","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031665162","display_name":"Scott McCloskey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"McCloskey, Scott","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033278948","display_name":"Anthony Hoogs","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hoogs, Anthony","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063137015","display_name":"Brian Clipp","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Clipp, Brian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5103180319"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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":0.9991999864578247,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9908999800682068,"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":0.9532999992370605,"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/viewpoints","display_name":"Viewpoints","score":0.8503857851028442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7447136044502258},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.647253155708313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5992847681045532},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5858550071716309},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5495308637619019},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5359523892402649},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5240174531936646},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46616488695144653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.460117369890213},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1383187174797058},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12869903445243835},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.11423152685165405},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.09318837523460388}],"concepts":[{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.8503857851028442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447136044502258},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.647253155708313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5992847681045532},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5858550071716309},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5495308637619019},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5359523892402649},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5240174531936646},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46616488695144653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.460117369890213},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1383187174797058},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12869903445243835},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.11423152685165405},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.09318837523460388},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2211.04656","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.04656","pdf_url":"https://arxiv.org/pdf/2211.04656","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2211.04656","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2211.04656","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2211.04656","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.04656","pdf_url":"https://arxiv.org/pdf/2211.04656","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4308831612.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W4233821346"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,56,146,165],"present":[4],"the":[5,20,27,58,84,142,156,162,216],"Multi-view":[6],"Extended":[7],"Videos":[8],"with":[9],"Identities":[10],"(MEVID)":[11],"dataset":[12],"for":[13,128,137,178,237],"large-scale,":[14],"video":[15,29,144,230],"person":[16,30,88,183,231],"re-identification":[17],"(ReID)":[18],"in":[19,44,79,115,124,202,229],"wild.":[21],"To":[22,160],"our":[23],"knowledge,":[24],"MEVID":[25,98,194,221],"represents":[26],"most-varied":[28],"ReID":[31,232],"dataset,":[32,145],"spanning":[33],"an":[34],"extensive":[35],"indoor":[36],"and":[37,51,130,171,185,197,209,233],"outdoor":[38],"environment":[39],"across":[40,119],"nine":[41],"unique":[42,62,96,218],"dates":[43],"a":[45,100,167],"73-day":[46],"window,":[47],"various":[48],"camera":[49,81],"viewpoints,":[50],"entity":[52],"clothing":[53],"changes.":[54],"Specifically,":[55],"label":[57],"identities":[59],"of":[60,74,103,204,206,220],"158":[61],"people":[63],"wearing":[64],"598":[65],"outfits":[66],"taken":[67],"from":[68,83],"8,":[69],"092":[70],"tracklets,":[71],"average":[72],"length":[73],"about":[75,105],"590":[76],"frames,":[77],"seen":[78],"33":[80,117],"views":[82],"very":[85],"large-scale":[86],"MEVA":[87,143],"activities":[89],"dataset.":[90],"While":[91],"other":[92],"datasets":[93],"have":[94],"more":[95],"identities,":[97],"emphasizes":[99],"richer":[101],"set":[102],"information":[104],"each":[106],"individual,":[107],"such":[108],"as:":[109],"4":[110],"outfits/identity":[111,114],"vs.":[112,122,134],"2":[113],"CCVID,":[116],"viewpoints":[118],"17":[120],"locations":[121,127],"6":[123],"5":[125],"simulated":[126],"MTA,":[129],"10":[131],"million":[132,136],"frames":[133],"3":[135],"LS-VID.":[138],"Being":[139],"based":[140],"on":[141,193,215],"also":[147],"inherit":[148],"data":[149],"that":[150,173,223],"is":[151],"intentionally":[152],"demographically":[153],"balanced":[154],"to":[155],"continental":[157],"United":[158],"States.":[159],"accelerate":[161],"annotation":[163,169],"process,":[164],"developed":[166],"semi-automatic":[168],"framework":[170],"GUI":[172],"combines":[174],"state-of-the-art":[175,191],"real-time":[176],"models":[177],"object":[179],"detection,":[180],"pose":[181],"estimation,":[182],"ReID,":[184],"multi-object":[186],"tracking.":[187],"We":[188],"evaluate":[189],"several":[190],"methods":[192],"challenge":[195],"problems":[196],"comprehensively":[198],"quantify":[199],"their":[200],"robustness":[201],"terms":[203],"changes":[205],"outfit,":[207],"scale,":[208],"background":[210],"location.":[211],"Our":[212],"quantitative":[213],"analysis":[214],"realistic,":[217],"aspects":[219],"shows":[222],"there":[224],"are":[225],"significant":[226],"remaining":[227],"challenges":[228],"indicates":[234],"important":[235],"directions":[236],"future":[238],"research.":[239]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}