{"id":"https://openalex.org/W2615416569","doi":"https://doi.org/10.1109/tip.2018.2815840","title":"PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification","display_name":"PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification","publication_year":2018,"publication_date":"2018-03-14","ids":{"openalex":"https://openalex.org/W2615416569","doi":"https://doi.org/10.1109/tip.2018.2815840","mag":"2615416569","pmid":"https://pubmed.ncbi.nlm.nih.gov/29698206"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2815840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2815840","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1705.06011","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058331158","display_name":"Yeong-Jun Cho","orcid":"https://orcid.org/0000-0002-0497-5660"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yeong-Jun Cho","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113931494","display_name":"Kuk\u2010Jin Yoon","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kuk-Jin Yoon","raw_affiliation_strings":["Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, South Korea","[Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, South Korea]"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, South Korea]","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058331158"],"corresponding_institution_ids":["https://openalex.org/I39534123"],"apc_list":null,"apc_paid":null,"fwci":2.4464,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.91992551,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"8","first_page":"3739","last_page":"3752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9987000226974487,"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":0.6895875930786133},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6441516280174255},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.603607177734375},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5975539684295654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5666511654853821},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4916091561317444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47050875425338745},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4504748284816742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29162171483039856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18927818536758423},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1472439169883728}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6895875930786133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6441516280174255},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.603607177734375},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5975539684295654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5666511654853821},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4916091561317444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47050875425338745},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4504748284816742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29162171483039856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18927818536758423},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1472439169883728},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2018.2815840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2815840","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:29698206","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29698206","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1705.06011","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.06011","pdf_url":"https://arxiv.org/pdf/1705.06011","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1705.06011","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1705.06011","pdf_url":"https://arxiv.org/pdf/1705.06011","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G207779895","display_name":null,"funder_award_id":"NRF-2017M3C4A7069369","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W140822990","https://openalex.org/W166429404","https://openalex.org/W760855798","https://openalex.org/W1596233070","https://openalex.org/W1605428578","https://openalex.org/W1887734902","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1965301261","https://openalex.org/W1979260620","https://openalex.org/W1980222719","https://openalex.org/W1988492566","https://openalex.org/W2018507448","https://openalex.org/W2024868105","https://openalex.org/W2038899696","https://openalex.org/W2046835352","https://openalex.org/W2047632871","https://openalex.org/W2068042582","https://openalex.org/W2070784585","https://openalex.org/W2073430215","https://openalex.org/W2079972027","https://openalex.org/W2095614026","https://openalex.org/W2106053110","https://openalex.org/W2121417877","https://openalex.org/W2129597587","https://openalex.org/W2130556178","https://openalex.org/W2135442311","https://openalex.org/W2156854584","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2169495281","https://openalex.org/W2204750386","https://openalex.org/W2217442075","https://openalex.org/W2219504084","https://openalex.org/W2228002889","https://openalex.org/W2256680489","https://openalex.org/W2294652642","https://openalex.org/W2332993427","https://openalex.org/W2342611082","https://openalex.org/W2346369283","https://openalex.org/W2361187101","https://openalex.org/W2394767630","https://openalex.org/W2463071499","https://openalex.org/W2465670578","https://openalex.org/W2471048925","https://openalex.org/W2519803806","https://openalex.org/W2520433280","https://openalex.org/W2584637367","https://openalex.org/W2622829582","https://openalex.org/W2738760914","https://openalex.org/W2963901085","https://openalex.org/W3102668440","https://openalex.org/W4239510810","https://openalex.org/W4250857377","https://openalex.org/W6601733005","https://openalex.org/W6636115609","https://openalex.org/W6668745715","https://openalex.org/W6675751002","https://openalex.org/W6683249403","https://openalex.org/W6684191040","https://openalex.org/W6702703240","https://openalex.org/W6711930228","https://openalex.org/W6726951882"],"related_works":["https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2372581239","https://openalex.org/W2107893065","https://openalex.org/W2617958085","https://openalex.org/W1509862229","https://openalex.org/W2050706403","https://openalex.org/W1519745258","https://openalex.org/W2193676006","https://openalex.org/W1973922169"],"abstract_inverted_index":{"Person":[0],"re-identification":[1,25,61,96,115],"is":[2],"the":[3,27,36,85,101,105],"problem":[4],"of":[5,38],"recognizing":[6],"people":[7,39],"across":[8,44],"different":[9,43],"images":[10],"or":[11],"videos":[12],"with":[13],"non-overlapping":[14],"views.":[15],"Although":[16],"a":[17,32,56],"significant":[18],"progress":[19],"has":[20],"been":[21],"made":[22],"in":[23],"person":[24,49,60,67,95,114],"over":[26],"last":[28],"decade,":[29],"it":[30],"remains":[31],"challenging":[33],"task":[34],"because":[35],"appearances":[37],"can":[40],"seem":[41],"extremely":[42],"diverse":[45,117],"camera":[46,64],"viewpoints":[47,65,118],"and":[48,66,78,109,119],"poses.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"novel":[57],"framework":[58],"for":[59,112],"by":[62,92],"analyzing":[63],"poses":[68,77],"called":[69],"pose-aware":[70],"multi-shot":[71,81],"matching.":[72],"It":[73],"robustly":[74],"estimates":[75],"individual":[76],"efficiently":[79],"performs":[80],"matching":[82],"based":[83],"on":[84],"pose":[86,120],"information.":[87],"The":[88],"experimental":[89],"results":[90],"obtained":[91],"using":[93],"public":[94],"data":[97],"sets":[98],"show":[99],"that":[100],"proposed":[102],"methods":[103],"outperform":[104],"current":[106],"state-of-the-art":[107],"methods,":[108],"are":[110],"promising":[111],"accomplishing":[113],"under":[116],"variances.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
