{"id":"https://openalex.org/W2883378477","doi":"https://doi.org/10.1109/access.2018.2853259","title":"Asymmetric Projection and Dictionary Learning With Listwise and Identity Consistency Constraints for Person Re-Identification","display_name":"Asymmetric Projection and Dictionary Learning With Listwise and Identity Consistency Constraints for Person Re-Identification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2883378477","doi":"https://doi.org/10.1109/access.2018.2853259","mag":"2883378477"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2853259","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2853259","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2853259","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080535168","display_name":"Huafeng Li","orcid":"https://orcid.org/0000-0003-2462-6174"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huafeng Li","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031626010","display_name":"Jinting Zhu","orcid":"https://orcid.org/0000-0002-0682-1796"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinting Zhu","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067600725","display_name":"Dapeng Tao","orcid":"https://orcid.org/0000-0003-0783-5273"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dapeng Tao","raw_affiliation_strings":["School of Information Science and Engineering, FIST LAB, School of Information Science and Engineering, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-0783-5273","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, FIST LAB, School of Information Science and Engineering, Kunming, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.06,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82547775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"37977","last_page":"37990"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9959999918937683,"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":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8979121446609497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7501479387283325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7159523963928223},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.6230525970458984},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6201658844947815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5685777068138123},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5259366631507874},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.4597911834716797},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.44607970118522644},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42289024591445923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3447355031967163},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20415756106376648}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8979121446609497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501479387283325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7159523963928223},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6230525970458984},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6201658844947815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5685777068138123},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5259366631507874},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.4597911834716797},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.44607970118522644},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42289024591445923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3447355031967163},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20415756106376648},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2853259","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2853259","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:be8e76d6b1ff4e6493a6dce139a35b7e","is_oa":true,"landing_page_url":"https://doaj.org/article/be8e76d6b1ff4e6493a6dce139a35b7e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 37977-37990 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2853259","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2853259","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1404478778","display_name":null,"funder_award_id":"2016FD039","funder_id":"https://openalex.org/F4320325440","funder_display_name":"Yunnan Provincial Science and Technology Department"},{"id":"https://openalex.org/G4847711185","display_name":"\u6444\u50cf\u673a\u7f51\u7edc\u4e2d\u7684\u591a\u89c6\u89d2\u884c\u4eba\u91cd\u8bc6\u522b\u7814\u7a76","funder_award_id":"61772455","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4858526612","display_name":null,"funder_award_id":"61362041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4942035985","display_name":"\u57fa\u4e8e\u591a\u7279\u5f81\u5f20\u91cf\u8868\u793a\u4e0e\u4f4e\u79e9\u7a00\u758f\u5206\u89e3\u7684\u56fe\u50cf\u68c0\u7d22\u95ee\u9898\u7814\u7a76","funder_award_id":"61562053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5063295874","display_name":null,"funder_award_id":"2016FB105","funder_id":"https://openalex.org/F4320325440","funder_display_name":"Yunnan Provincial Science and Technology Department"},{"id":"https://openalex.org/G5232926350","display_name":"\u5206\u5e03\u5f0f\u89c6\u9891\u4e2d\u8fd0\u52a8\u8f66\u8f86\u540c\u4e00\u6027\u65f6\u7a7a\u5173\u8054\u68c0\u7d22\u7684\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61363043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7237269613","display_name":null,"funder_award_id":"2017FB094","funder_id":"https://openalex.org/F4320325440","funder_display_name":"Yunnan Provincial Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324731","display_name":"Yunnan University","ror":"https://ror.org/0040axw97"},{"id":"https://openalex.org/F4320325440","display_name":"Yunnan Provincial Science and Technology Department","ror":"https://ror.org/03whqdf70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W42769906","https://openalex.org/W46454230","https://openalex.org/W79405465","https://openalex.org/W140822990","https://openalex.org/W1142012885","https://openalex.org/W1201875361","https://openalex.org/W1518138188","https://openalex.org/W1596233070","https://openalex.org/W1602182271","https://openalex.org/W1605761733","https://openalex.org/W1709635438","https://openalex.org/W1897123318","https://openalex.org/W1920259731","https://openalex.org/W1927348918","https://openalex.org/W1949591461","https://openalex.org/W1962025484","https://openalex.org/W1979260620","https://openalex.org/W1983407432","https://openalex.org/W1991452654","https://openalex.org/W1998443077","https://openalex.org/W1999478721","https://openalex.org/W2009954450","https://openalex.org/W2014764728","https://openalex.org/W2027805700","https://openalex.org/W2032078878","https://openalex.org/W2034883938","https://openalex.org/W2062368515","https://openalex.org/W2062677035","https://openalex.org/W2068042582","https://openalex.org/W2084716923","https://openalex.org/W2103972604","https://openalex.org/W2115706991","https://openalex.org/W2125889200","https://openalex.org/W2125936497","https://openalex.org/W2128648922","https://openalex.org/W2131628350","https://openalex.org/W2144664362","https://openalex.org/W2145962650","https://openalex.org/W2151065677","https://openalex.org/W2160547390","https://openalex.org/W2220271458","https://openalex.org/W2228002889","https://openalex.org/W2259687230","https://openalex.org/W2293559800","https://openalex.org/W2300840837","https://openalex.org/W2311508968","https://openalex.org/W2326772079","https://openalex.org/W2341680599","https://openalex.org/W2342611082","https://openalex.org/W2344622006","https://openalex.org/W2441160157","https://openalex.org/W2461851607","https://openalex.org/W2473702307","https://openalex.org/W2474013209","https://openalex.org/W2515904052","https://openalex.org/W2517712711","https://openalex.org/W2520831962","https://openalex.org/W2546471346","https://openalex.org/W2549396809","https://openalex.org/W2567804583","https://openalex.org/W2585132294","https://openalex.org/W2586409500","https://openalex.org/W2586899202","https://openalex.org/W2592051407","https://openalex.org/W2596839961","https://openalex.org/W2600446833","https://openalex.org/W2612114597","https://openalex.org/W2621145732","https://openalex.org/W2725210667","https://openalex.org/W2726229433","https://openalex.org/W2749439257","https://openalex.org/W2751011928","https://openalex.org/W2764012408","https://openalex.org/W2765860780","https://openalex.org/W2790393188","https://openalex.org/W2793890232","https://openalex.org/W4298190105","https://openalex.org/W6601733005","https://openalex.org/W6601887387","https://openalex.org/W6603183647","https://openalex.org/W6627095619","https://openalex.org/W6631178364","https://openalex.org/W6636160605","https://openalex.org/W6639781355","https://openalex.org/W6678599689","https://openalex.org/W6679973066","https://openalex.org/W6682286002"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W2144332008","https://openalex.org/W2349204598"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"aims":[2],"to":[3,17,30,98,121,165],"identify":[4],"the":[5,53,59,68,76,81,95,101,105,123,132,137,148,167],"same":[6,138],"person":[7],"across":[8,111],"non-overlapping":[9,112],"camera":[10,113],"views.":[11],"It":[12],"remains":[13],"very":[14],"challenging":[15,172],"due":[16],"large":[18,69],"differences":[19],"in":[20,75,140],"pose,":[21],"illumination,":[22],"and":[23,40,47,151,181],"viewpoint":[24],"between":[25,62,134],"images.":[26],"To":[27,107],"improve":[28,100],"robustness":[29],"such":[31,130],"variations,":[32],"here":[33],"we":[34,88,154],"develop":[35,155],"a":[36,127,156,160],"joint":[37],"asymmetric":[38,116],"projection":[39,117],"dictionary-learning":[41],"algorithm":[42],"by":[43,146],"adopting":[44],"listwise":[45,54],"similarity":[46,60,163],"identity":[48,91],"consistency":[49,92],"constraints.":[50],"Benefiting":[51],"from":[52,136],"similarities,":[55],"dictionary":[56,82],"learning":[57],"considers":[58],"list":[61],"each":[63],"pedestrian":[64,124],"image,":[65],"thus":[66],"exploiting":[67],"amount":[70],"of":[71,104],"discriminative":[72,84,102],"information":[73],"contained":[74],"samples.":[77],"This":[78],"approach":[79],"endows":[80],"with":[83,159],"power.":[85],"In":[86],"addition,":[87],"impose":[89],"an":[90],"constraint":[93],"on":[94,170],"coding":[96,149],"coefficients":[97],"further":[99],"ability":[103],"dictionary.":[106],"overcome":[108],"appearance":[109],"variability":[110],"views,":[114],"two":[115],"dictionaries":[118],"are":[119],"employed":[120],"map":[122],"features":[125],"into":[126],"unified":[128],"subspace":[129],"that":[131,176],"correlation":[133],"data":[135,173],"people":[139],"different":[141,171],"views":[142],"is":[143,179],"maximized.":[144],"Finally,":[145],"integrating":[147],"coefficient":[150],"classification":[152],"results,":[153],"fusion":[157],"strategy":[158],"modified":[161],"cosine":[162],"measure":[164],"match":[166],"pedestrians.":[168],"Experiments":[169],"sets":[174],"demonstrate":[175],"our":[177],"method":[178],"effective":[180],"outperforms":[182],"some":[183],"current":[184],"state-of-the-art":[185],"approaches.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-21T07:57:09.225873","created_date":"2025-10-10T00:00:00"}