{"id":"https://openalex.org/W2783243441","doi":"https://doi.org/10.1109/access.2018.2790969","title":"Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification","display_name":"Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2783243441","doi":"https://doi.org/10.1109/access.2018.2790969","mag":"2783243441"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2790969","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2790969","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.2018.2790969","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021039308","display_name":"Tiezhu Li","orcid":"https://orcid.org/0000-0002-3036-5751"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]},{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tiezhu Li","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","School of Software, Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0002-3036-5751","affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Software, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046146572","display_name":"Lijuan Sun","orcid":"https://orcid.org/0000-0003-2873-9803"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Sun","raw_affiliation_strings":["Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088154815","display_name":"Chong Han","orcid":"https://orcid.org/0000-0002-2657-1464"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Han","raw_affiliation_strings":["Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2657-1464","affiliations":[{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001134659","display_name":"Jian Guo","orcid":"https://orcid.org/0000-0003-3605-2999"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Guo","raw_affiliation_strings":["Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021039308"],"corresponding_institution_ids":["https://openalex.org/I173899330","https://openalex.org/I41198531"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0603,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81952821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"8638","last_page":"8648"},"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":0.9977999925613403,"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":0.9912999868392944,"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/salient","display_name":"Salient","score":0.8047841787338257},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7636654376983643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690220296382904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.663946270942688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4859274923801422},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4639318585395813},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.4631212651729584},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4401237964630127},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.42360520362854004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20847225189208984}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8047841787338257},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7636654376983643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690220296382904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.663946270942688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4859274923801422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4639318585395813},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.4631212651729584},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4401237964630127},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.42360520362854004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20847225189208984},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2790969","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2790969","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:ae87ecb0a46544fea4aab43b404af4be","is_oa":true,"landing_page_url":"https://doaj.org/article/ae87ecb0a46544fea4aab43b404af4be","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 8638-8648 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2790969","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2790969","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":"Sustainable cities and communities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2733353376","display_name":null,"funder_award_id":"61373139","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2891540903","display_name":null,"funder_award_id":"61572261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3063705419","display_name":null,"funder_award_id":"BK20150868","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G3304279831","display_name":null,"funder_award_id":"2014M551635","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4648213575","display_name":null,"funder_award_id":"1302085B","funder_id":"https://openalex.org/F4320335471","funder_display_name":"Jiangsu Planned Projects for Postdoctoral Research Funds"},{"id":"https://openalex.org/G7949629257","display_name":null,"funder_award_id":"61702284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335471","display_name":"Jiangsu Planned Projects for Postdoctoral Research Funds","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1596233070","https://openalex.org/W1855110042","https://openalex.org/W1927348918","https://openalex.org/W1941498359","https://openalex.org/W1942214758","https://openalex.org/W1949591461","https://openalex.org/W1979260620","https://openalex.org/W2037954058","https://openalex.org/W2052950171","https://openalex.org/W2068042582","https://openalex.org/W2102298033","https://openalex.org/W2143159002","https://openalex.org/W2204750386","https://openalex.org/W2219504084","https://openalex.org/W2256680489","https://openalex.org/W2326772079","https://openalex.org/W2332063091","https://openalex.org/W2341680599","https://openalex.org/W2346369283","https://openalex.org/W2463071499","https://openalex.org/W2508351150","https://openalex.org/W2511135850","https://openalex.org/W2516949105","https://openalex.org/W2518058967","https://openalex.org/W2520433280","https://openalex.org/W2522198061","https://openalex.org/W2547843353","https://openalex.org/W2573994149","https://openalex.org/W2589952946","https://openalex.org/W2678677036","https://openalex.org/W2683203202","https://openalex.org/W2726732649","https://openalex.org/W2728415092","https://openalex.org/W2730844222","https://openalex.org/W2731605689","https://openalex.org/W2737655511","https://openalex.org/W4239147634","https://openalex.org/W6726951882","https://openalex.org/W6729510131","https://openalex.org/W6732208523","https://openalex.org/W6740689234","https://openalex.org/W6742019305"],"related_works":["https://openalex.org/W4256429076","https://openalex.org/W1971174658","https://openalex.org/W2329500892","https://openalex.org/W2099195351","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2348092930","https://openalex.org/W2369710579","https://openalex.org/W2012063272","https://openalex.org/W2288837750"],"abstract_inverted_index":{"Because":[0],"of":[1,42,58,147,191],"its":[2],"distinction":[3],"and":[4,44,103,162,182,184],"reliability,":[5],"the":[6,21,30,39,45,95,100,105,110,128,135,141,145,148,156,159,163,170,185,189,192,196],"person-salient":[7],"region":[8,85,107,161],"has":[9],"been":[10],"applied":[11],"to":[12,66,98],"pedestrian":[13,47,71,176],"re-identification":[14],"(re-id)":[15],"across":[16],"disjoint":[17],"camera":[18],"views.":[19],"Despite":[20],"great":[22],"progress":[23],"achieved,":[24],"a":[25,50,82],"few":[26],"works":[27],"have":[28],"studied":[29],"more":[31,64],"challenging":[32],"image-to-video":[33,89,197],"person":[34,90,101,137,149,198],"re-id":[35,150],"problem,":[36,76],"in":[37,49,77],"which":[38,127],"gallery":[40,164],"consists":[41],"videos":[43],"same":[46,136,142],"appears":[48],"continuous":[51],"video":[52,60],"sequence.":[53],"The":[54],"intrinsic":[55],"high":[56,68],"redundancy":[57],"such":[59],"sequences":[61],"makes":[62],"it":[63],"difficult":[65],"obtain":[67,104],"performance":[69],"for":[70,88,112,195],"re-id.":[72,91,199],"To":[73],"solve":[74],"this":[75,78],"paper,":[79],"we":[80,93],"propose":[81],"new":[83],"salient":[84,106,117,129,166],"clustering":[86],"approach":[87,172,194],"Specifically,":[92],"use":[94],"mean":[96],"shift":[97],"extract":[99],"regions":[102,118,130],"by":[108,121,154],"computing":[109,155],"saliency":[111],"each":[113],"region.":[114],"Then,":[115],"all":[116],"are":[119,132,138],"clustered":[120,165],"least-squares":[122],"log-density":[123],"gradient":[124],"clustering,":[125],"after":[126],"that":[131],"extracted":[133],"from":[134],"marked":[139],"as":[140],"group.":[143],"Finally,":[144],"rank":[146],"can":[151],"be":[152],"obtained":[153],"distance":[157],"between":[158],"probesalient":[160],"regions.":[167],"We":[168],"evaluate":[169],"proposed":[171,193],"on":[173],"two":[174],"public":[175],"sequence":[177],"data":[178],"sets":[179],"(PRID":[180],"2011":[181],"MARS),":[183],"experimental":[186],"results":[187],"validate":[188],"effectiveness":[190]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}