{"id":"https://openalex.org/W2609740838","doi":"https://doi.org/10.1109/icpr.2016.7899943","title":"Person re-identification using co-occurrence attributes of physical and adhered human characteristics","display_name":"Person re-identification using co-occurrence attributes of physical and adhered human characteristics","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609740838","doi":"https://doi.org/10.1109/icpr.2016.7899943","mag":"2609740838"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5054129619","display_name":"Masashi Nishiyama","orcid":"https://orcid.org/0000-0002-5964-3209"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masashi Nishiyama","raw_affiliation_strings":["Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007209475","display_name":"Shota Nakano","orcid":"https://orcid.org/0000-0002-2866-228X"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shota Nakano","raw_affiliation_strings":["Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061505826","display_name":"Tappei Yotsumoto","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tappei Yotsumoto","raw_affiliation_strings":["Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102257024","display_name":"Hiroki Yoshimura","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Yoshimura","raw_affiliation_strings":["Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059654927","display_name":"Yoshio Iwai","orcid":"https://orcid.org/0000-0003-2248-4563"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshio Iwai","raw_affiliation_strings":["Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028203309","display_name":"Kazunori Sugahara","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Sugahara","raw_affiliation_strings":["Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054129619"],"corresponding_institution_ids":["https://openalex.org/I4588055"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61717518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2085","last_page":"2090"},"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":0.9988999962806702,"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7233923077583313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7002536654472351},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6616681814193726},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.6447193622589111},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6228308081626892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6155681610107422},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5732407569885254},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5400726199150085},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4637468457221985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4459910988807678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3977734446525574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16251924633979797},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09773504734039307},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07555732131004333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233923077583313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7002536654472351},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6616681814193726},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.6447193622589111},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6228308081626892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6155681610107422},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5732407569885254},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5400726199150085},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4637468457221985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4459910988807678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3977734446525574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16251924633979797},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09773504734039307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07555732131004333},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.699999988079071,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W10096406","https://openalex.org/W41482161","https://openalex.org/W760855798","https://openalex.org/W1009458120","https://openalex.org/W1518138188","https://openalex.org/W1545140005","https://openalex.org/W1578415806","https://openalex.org/W1596233070","https://openalex.org/W1608462934","https://openalex.org/W1962025484","https://openalex.org/W1979260620","https://openalex.org/W1979838576","https://openalex.org/W1986905809","https://openalex.org/W1992195312","https://openalex.org/W2070784585","https://openalex.org/W2096306138","https://openalex.org/W2100603339","https://openalex.org/W2106053110","https://openalex.org/W2111025459","https://openalex.org/W2126448884","https://openalex.org/W2126791727","https://openalex.org/W2128560777","https://openalex.org/W2201508557","https://openalex.org/W2220271458","https://openalex.org/W2294682666","https://openalex.org/W3109160852","https://openalex.org/W4317524344","https://openalex.org/W6601733005","https://openalex.org/W6622321702","https://openalex.org/W6631178364","https://openalex.org/W6646904105","https://openalex.org/W6648512498","https://openalex.org/W6675751002","https://openalex.org/W6687830471","https://openalex.org/W6697035826"],"related_works":["https://openalex.org/W2738456166","https://openalex.org/W2352745894","https://openalex.org/W2057731951","https://openalex.org/W2358836583","https://openalex.org/W2119941839","https://openalex.org/W2022897160","https://openalex.org/W2387983088","https://openalex.org/W2135888309","https://openalex.org/W3080469217","https://openalex.org/W791876968"],"abstract_inverted_index":{"We":[0,157],"propose":[1],"a":[2,58,61,70,102,106,117,125,132],"novel":[3],"method":[4,39,91,141],"for":[5,19,88],"extracting":[6],"features":[7,25,44],"from":[8],"images":[9],"of":[10,51,80,101,134,147],"people":[11],"using":[12,45,77,112,131],"co-occurrence":[13,46,73,94,166],"attributes,":[14,47],"which":[15,48],"are":[16,49],"then":[17],"used":[18,82],"person":[20,149],"re-identification.":[21],"Existing":[22],"methods":[23,81],"extract":[24],"based":[26],"on":[27],"simple":[28],"attributes":[29,74],"such":[30],"as":[31],"gender,":[32],"age,":[33],"hair":[34,67],"style,":[35],"or":[36,65],"clothing.":[37],"Our":[38,72,90,129],"instead":[40],"extracts":[41],"more":[42],"informative":[43],"combinations":[50],"physical":[52],"and":[53,68,115,121],"adhered":[54],"human":[55],"characteristics":[56],"(e.g.,":[57],"man":[59],"wearing":[60,69],"suit,":[62],"20-something":[63],"woman,":[64],"long":[66],"skirt).":[71],"were":[75],"designed":[76],"prior":[78],"knowledge":[79],"by":[83,108],"public":[84],"websites":[85],"that":[86,139],"search":[87],"people.":[89],"first":[92],"trains":[93],"attribute":[95],"classifiers.":[96],"Given":[97],"an":[98],"input":[99,120],"image":[100],"person,":[103],"we":[104],"generate":[105],"feature":[107],"vectorizing":[109],"confidences":[110],"estimated":[111],"the":[113,144,148,163],"classifiers":[114],"compute":[116],"distance":[118],"between":[119],"reference":[122],"vectors":[123],"with":[124,154],"metric":[126],"learning":[127],"technique.":[128],"experiments":[130],"number":[133],"publicly":[135],"available":[136],"datasets":[137],"show":[138],"our":[140],"substantially":[142],"improved":[143],"matching":[145],"performance":[146],"re-identification":[150],"results,":[151],"when":[152],"compared":[153],"existing":[155],"methods.":[156],"also":[158],"demonstrated":[159],"how":[160],"to":[161],"analyze":[162],"most":[164],"important":[165],"attributes.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
