{"id":"https://openalex.org/W2902825068","doi":"https://doi.org/10.1109/icpr.2018.8545640","title":"A structural approach to Person Re-identification problem","display_name":"A structural approach to Person Re-identification problem","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902825068","doi":"https://doi.org/10.1109/icpr.2018.8545640","mag":"2902825068"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://normandie-univ.hal.science/hal-01865218","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103751579","display_name":"Amal Mahboubi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Amal Mahboubi","raw_affiliation_strings":["Normandie Univ, GREYC, Caen, France"],"affiliations":[{"raw_affiliation_string":"Normandie Univ, GREYC, Caen, France","institution_ids":["https://openalex.org/I4210139483","https://openalex.org/I4210105918"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067287623","display_name":"Luc Brun","orcid":"https://orcid.org/0000-0002-1658-0527"},"institutions":[{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Luc Brun","raw_affiliation_strings":["Normandie Univ, GREYC, Caen, France"],"affiliations":[{"raw_affiliation_string":"Normandie Univ, GREYC, Caen, France","institution_ids":["https://openalex.org/I4210139483","https://openalex.org/I4210105918"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088887535","display_name":"Donatello Conte","orcid":"https://orcid.org/0000-0003-4642-4768"},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Donatelo Conte","raw_affiliation_strings":["Universit\u00e9 de Tours, LI EA 6300, Tours, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Tours, LI EA 6300, Tours, France","institution_ids":["https://openalex.org/I110017253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103751579"],"corresponding_institution_ids":["https://openalex.org/I4210105918","https://openalex.org/I4210139483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14289367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1616","last_page":"1621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9966999888420105,"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":0.9957000017166138,"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/identification","display_name":"Identification (biology)","score":0.7505624294281006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487706542015076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.678498387336731},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6501538753509521},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.572801411151886},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5712978839874268},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5700080990791321},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5518518090248108},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5505316257476807},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5252763032913208},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47715848684310913},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.41025251150131226},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10884055495262146},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09305638074874878},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07695603370666504},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06595057249069214}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7505624294281006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487706542015076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.678498387336731},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6501538753509521},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.572801411151886},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5712978839874268},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5700080990791321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5518518090248108},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5505316257476807},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5252763032913208},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47715848684310913},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.41025251150131226},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10884055495262146},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09305638074874878},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07695603370666504},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06595057249069214},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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":"doi:10.1109/icpr.2018.8545640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01865218v1","is_oa":true,"landing_page_url":"https://normandie-univ.hal.science/hal-01865218","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"24th International Conference on Pattern Recognition (ICPR), Aug 2018, P\u00e9kin, China. pp.1616-1621","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01865218v1","is_oa":true,"landing_page_url":"https://normandie-univ.hal.science/hal-01865218","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"24th International Conference on Pattern Recognition (ICPR), Aug 2018, P\u00e9kin, China. pp.1616-1621","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W351723948","https://openalex.org/W1576213419","https://openalex.org/W1979260620","https://openalex.org/W2026569857","https://openalex.org/W2029287185","https://openalex.org/W2068042582","https://openalex.org/W2068791026","https://openalex.org/W2098807270","https://openalex.org/W2122378993","https://openalex.org/W2126791727","https://openalex.org/W2152632881","https://openalex.org/W2189007323","https://openalex.org/W2592215117","https://openalex.org/W6687423640"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Although":[0],"it":[1,53,59],"has":[2],"been":[3,23],"studied":[4],"extensively":[5],"during":[6],"past":[7],"decades,":[8],"object":[9,96],"tracking":[10,41,86],"is":[11,42,87,125],"still":[12],"a":[13],"difficult":[14],"problem":[15,45],"due":[16],"to":[17,48,93,143],"many":[18],"challenges.":[19],"Several":[20],"improvements":[21],"have":[22],"done,":[24],"but":[25],"more":[26,28,36],"and":[27,75,134,137],"complex":[29,33],"scenes":[30],"(dense":[31],"crowd,":[32],"interactions)":[34],"need":[35],"sophisticated":[37],"approaches.":[38,146],"Particularly":[39],"long-term":[40,85],"an":[43,95,101,111],"interesting":[44],"that":[46,91],"allow":[47],"track":[49],"objects":[50],"even":[51],"after":[52,100],"may":[54],"become":[55],"longtime":[56],"occluded":[57],"or":[58,103],"leave/re-enter":[60],"the":[61,66,79,82,88,106],"field-of-view.":[62],"In":[63],"this":[64],"case":[65],"major":[67],"challenges":[68],"are":[69],"significantly":[70],"changes":[71],"in":[72],"appearance,":[73],"scale":[74],"so":[76],"on.":[77],"At":[78],"heart":[80],"of":[81,84,120],"solution":[83],"re-identification":[89,115],"technique,":[90],"allows":[92],"identify":[94],"coming":[97],"back":[98],"visible":[99],"occlusion":[102],"re-entering":[104],"on":[105,117,128],"scene.":[107],"This":[108],"paper":[109],"proposes":[110],"approach":[112],"for":[113],"pedestrian":[114],"based":[116],"structural":[118],"representation":[119],"people.":[121],"The":[122],"experimental":[123],"evaluation":[124],"carried":[126],"out":[127],"two":[129],"public":[130],"data":[131],"sets":[132],"(ETHZ":[133],"CAVIAR4REID":[135],"datasets)":[136],"they":[138],"show":[139],"promising":[140],"results":[141],"compared":[142],"others":[144],"state-of-the-art":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}