{"id":"https://openalex.org/W2998761037","doi":"https://doi.org/10.1109/icmlc48188.2019.8949262","title":"Person Re-Identification via Feature Representation Learning Based on Verification Sample Constrain","display_name":"Person Re-Identification via Feature Representation Learning Based on Verification Sample Constrain","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2998761037","doi":"https://doi.org/10.1109/icmlc48188.2019.8949262","mag":"2998761037"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc48188.2019.8949262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101884393","display_name":"Ruifeng Zhao","orcid":"https://orcid.org/0000-0003-1874-3681"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Ruifeng Zhao","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101994611","display_name":"Ajian Liu","orcid":"https://orcid.org/0000-0002-7788-9368"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Ajian Liu","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062981171","display_name":"Yanyan Liang","orcid":"https://orcid.org/0000-0002-5780-8540"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yanyan Liang","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101588974","display_name":"Haozhi Huang","orcid":"https://orcid.org/0000-0002-5721-8057"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Haozhi Huang","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China","institution_ids":["https://openalex.org/I111950717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111950717"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17823831,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T11448","display_name":"Face recognition and analysis","score":0.9993000030517578,"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/T10828","display_name":"Biometric Identification and Security","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7420584559440613},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6696165800094604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.654177725315094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6358166933059692},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6217622756958008},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6181289553642273},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5961030125617981},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5310205817222595},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5201968550682068},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4988367557525635},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4983253479003906},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4960218369960785},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.43715134263038635},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4233565330505371},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4150083661079407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3740008473396301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420584559440613},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6696165800094604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.654177725315094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6358166933059692},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6217622756958008},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6181289553642273},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5961030125617981},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5310205817222595},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5201968550682068},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4988367557525635},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4983253479003906},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4960218369960785},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.43715134263038635},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4233565330505371},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4150083661079407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3740008473396301},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc48188.2019.8949262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1971955426","https://openalex.org/W1982925187","https://openalex.org/W1991452654","https://openalex.org/W2046835352","https://openalex.org/W2060744726","https://openalex.org/W2068042582","https://openalex.org/W2089074647","https://openalex.org/W2096733369","https://openalex.org/W2098807270","https://openalex.org/W2115669554","https://openalex.org/W2117060632","https://openalex.org/W2163605009","https://openalex.org/W2175149598","https://openalex.org/W2204750386","https://openalex.org/W2220271458","https://openalex.org/W2300840837","https://openalex.org/W2342611082","https://openalex.org/W2432402544","https://openalex.org/W2463071499","https://openalex.org/W2467139031","https://openalex.org/W2471048925","https://openalex.org/W2491664569","https://openalex.org/W2497344197","https://openalex.org/W2502225121","https://openalex.org/W2519373641","https://openalex.org/W2520774990","https://openalex.org/W2583147637","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2586899202","https://openalex.org/W2598634450","https://openalex.org/W2606377603","https://openalex.org/W2736410039","https://openalex.org/W2762262611","https://openalex.org/W2911732406","https://openalex.org/W2953350812","https://openalex.org/W2963235358","https://openalex.org/W2964173540","https://openalex.org/W2964346648","https://openalex.org/W3098711604","https://openalex.org/W3099206234","https://openalex.org/W3100555577","https://openalex.org/W6640328108","https://openalex.org/W6646071477","https://openalex.org/W6684191040","https://openalex.org/W6687888618","https://openalex.org/W6693957032","https://openalex.org/W6722869231","https://openalex.org/W6723727189","https://openalex.org/W6724544503","https://openalex.org/W6726747819","https://openalex.org/W6726946684"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W2062283790","https://openalex.org/W2043960970","https://openalex.org/W2202454811"],"abstract_inverted_index":{"In":[0,81],"person":[1],"re-identification":[2],"(ReID)":[3],"task,":[4,33],"the":[5,8,40,51,60,63,65,103,141,160,183,198],"variance":[6],"between":[7,68,106],"samples":[9,69,107],"are":[10,151],"quite":[11],"large,":[12],"and":[13,99,108,187,189],"there":[14],"is":[15,26,70,76,114,129,137,180],"no":[16],"standard":[17],"sample":[18],"as":[19,30,47,168],"a":[20,31,92,132,154],"comparison.":[21],"The":[22,126,173],"current":[23],"common":[24],"method":[25,120,179],"to":[27,86,193],"implement":[28],"it":[29,75,124],"classification":[32,56],"which":[34,113,149,164],"can":[35],"get":[36],"better":[37],"results":[38,192],"than":[39],"classical":[41],"methods":[42,195],"in":[43,55,131,197],"verification":[44],"task":[45,57],"such":[46],"contrastive":[48],"loss.":[49],"However,":[50],"identification":[52,97],"loss":[53,94,98,128,143],"used":[54],"only":[58],"seeks":[59],"boundary":[61],"of":[62,101,148,185],"classification,":[64],"intra-class":[66],"distance":[67],"still":[71],"large":[72],"so":[73],"that":[74],"insufficient":[77],"for":[78,144],"ReID":[79],"task.":[80],"this":[82],"paper,":[83],"we":[84,122,165],"consider":[85],"overcome":[87],"these":[88],"difficulties":[89],"by":[90,116,140,153],"proposing":[91],"joint":[93],"with":[95,162,176],"an":[96,169],"constrains":[100],"modeling":[102],"Euclidean":[104],"distances":[105],"their":[109],"corresponding":[110],"eigen":[111],"data":[112],"constructed":[115,166],"Principal":[117],"Component":[118],"Analysis":[119],"(PCA),":[121],"call":[123],"EigenPerson.":[125],"entire":[127],"formed":[130],"linear":[133],"combination.":[134],"This":[135],"work":[136],"mainly":[138],"motivated":[139],"center":[142,161],"face":[145],"recognition":[146],"problems,":[147],"regularizations":[150],"restricted":[152],"simultaneously":[155],"learned":[156,174],"center.":[157],"We":[158],"substitute":[159],"EigenPerson":[163],"offline":[167],"auxiliary":[170],"training":[171],"sample.":[172],"model":[175],"our":[177],"proposed":[178,196],"evaluated":[181],"on":[182],"benchmark":[184],"Market1501":[186],"CUHK03":[188],"achieve":[190],"comparable":[191],"those":[194],"same":[199],"period.":[200]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
