{"id":"https://openalex.org/W2902667115","doi":"https://doi.org/10.1109/icpr.2018.8545848","title":"Which Part is Better: Multi-Part Competition Network for person Re-Identification","display_name":"Which Part is Better: Multi-Part Competition Network for person Re-Identification","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902667115","doi":"https://doi.org/10.1109/icpr.2018.8545848","mag":"2902667115"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545848","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101841142","display_name":"Peng Du","orcid":"https://orcid.org/0000-0003-0053-8057"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Du","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, P.R.China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, P.R.China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110814145","display_name":"Yonghong Song","orcid":"https://orcid.org/0000-0001-5978-3781"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Song","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R.China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R.China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046450643","display_name":"Yuanlin Zhang","orcid":"https://orcid.org/0000-0003-0960-3636"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlin Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R.China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R.China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101841142"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1421266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1634","last_page":"1639"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9970999956130981,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7449333071708679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7359645366668701},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7018789052963257},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5641108751296997},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5347200036048889},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5194448828697205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5113663077354431},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48185622692108154}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7449333071708679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7359645366668701},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7018789052963257},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5641108751296997},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5347200036048889},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5194448828697205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5113663077354431},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48185622692108154},{"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":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545848","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6800000071525574,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W46454230","https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1949591461","https://openalex.org/W1963882359","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W2068042582","https://openalex.org/W2115669554","https://openalex.org/W2135442311","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2344924411","https://openalex.org/W2467139031","https://openalex.org/W2583528645","https://openalex.org/W2613718673","https://openalex.org/W2724213014","https://openalex.org/W2736410039","https://openalex.org/W2768610172","https://openalex.org/W2963362748","https://openalex.org/W2963383990","https://openalex.org/W2963438548","https://openalex.org/W2963637710","https://openalex.org/W2963901085","https://openalex.org/W2964289004","https://openalex.org/W2964304299","https://openalex.org/W2964304707","https://openalex.org/W3098057481","https://openalex.org/W6601733005","https://openalex.org/W6601887387","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6719816043","https://openalex.org/W6744741532"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W2404514746","https://openalex.org/W1652783584","https://openalex.org/W2082783427","https://openalex.org/W2088733771","https://openalex.org/W2958404818"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"is":[2],"a":[3,31,127,146,186],"challenging":[4],"task":[5],"due":[6],"to":[7,48,113,144,190],"the":[8,17,50,55,86,97,149,154,191],"background":[9,89],"clutters,":[10],"occlusion":[11],"and":[12,41,58,68,90,100,117,130,153,158],"illumination":[13],"variations.":[14,61],"In":[15,26],"addition,":[16],"pedestrian":[18],"misalignment":[19,51,87],"always":[20],"exists":[21],"in":[22],"some":[23],"automatic-detection":[24],"datasets.":[25],"this":[27],"paper,":[28],"we":[29,63,110,141],"propose":[30],"Multi-Part":[32,38],"Competition":[33,43],"Network":[34,39,44],"(MPCN)":[35],"consisting":[36],"of":[37,80,125],"(MPN)":[40],"Part":[42],"(PCN),":[45],"which":[46],"aims":[47],"solve":[49,96],"problem":[52],"caused":[53],"by":[54,105,136],"detector":[56],"errors":[57],"human":[59,73,92,106],"pose":[60,74,93,107],"First,":[62],"construct":[64],"original":[65,150],"body":[66,70,81,102,120,151,156,167],"parts":[67,71,82,103,121,152,157],"enlarged":[69,155],"using":[72],"estimation":[75],"algorithm.":[76],"These":[77],"two":[78,118,131,165],"kinds":[79],"not":[83],"only":[84],"alleviate":[85],"from":[88,163],"varying":[91],"but":[94],"also":[95],"missing":[98],"details":[99],"imprecise":[101],"introduced":[104],"estimator.":[108],"Then,":[109],"use":[111],"MPN":[112],"acquire":[114,159],"global":[115,128],"features":[116,162],"different":[119,166],"features.":[122],"The":[123],"components":[124],"MPN,":[126],"branch":[129],"part":[132,161],"branches,":[133],"are":[134],"combined":[135],"ROI":[137],"pooling":[138],"layer.":[139],"Finally,":[140],"apply":[142],"PCN":[143],"achieve":[145],"tradeoff":[147],"between":[148],"discriminative":[160],"these":[164],"parts.":[168],"Extensive":[169],"evaluations":[170],"on":[171],"three":[172],"widely":[173],"used":[174],"re-id":[175],"datasets,":[176],"Market-1501,":[177],"CUHK03,":[178],"VIPeR":[179],"demonstrate":[180],"that":[181],"our":[182],"proposed":[183],"network":[184],"have":[185],"competitive":[187],"result":[188],"compared":[189],"state-of-the-art":[192],"methods.":[193]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}