{"id":"https://openalex.org/W2056386528","doi":"https://doi.org/10.1109/icip.2013.6738634","title":"Set-based classification for person re-identification utilizing mutual-information","display_name":"Set-based classification for person re-identification utilizing mutual-information","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2056386528","doi":"https://doi.org/10.1109/icip.2013.6738634","mag":"2056386528"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5100458818","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-5248-935X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing 100049, China","University of Chinese Academy of Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101701425","display_name":"Lei Qin","orcid":"https://orcid.org/0000-0001-9995-4768"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Qin","raw_affiliation_strings":["Key Lab. of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, China","Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087258613","display_name":"Zhongwei Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Cheng","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing 100049, China","University of Chinese Academy of Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing 100049, China","University of Chinese Academy of Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.1631557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3078","last_page":"3082"},"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":0.9983000159263611,"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":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.7954695224761963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7483054399490356},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6933973431587219},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6884187459945679},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6525800824165344},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6498555541038513},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6412086486816406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692863464355469},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49814724922180176},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46451348066329956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45856890082359314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44335421919822693},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41274210810661316},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.336943119764328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1418060064315796}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.7954695224761963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7483054399490356},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6933973431587219},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6884187459945679},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6525800824165344},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6498555541038513},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6412086486816406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692863464355469},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49814724922180176},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46451348066329956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45856890082359314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44335421919822693},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41274210810661316},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.336943119764328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1418060064315796},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/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/icip.2013.6738634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W42769906","https://openalex.org/W129737085","https://openalex.org/W1518138188","https://openalex.org/W1979260620","https://openalex.org/W1991452654","https://openalex.org/W1994715454","https://openalex.org/W2068042582","https://openalex.org/W2094724819","https://openalex.org/W2098699644","https://openalex.org/W2098807270","https://openalex.org/W2113609219","https://openalex.org/W2122378993","https://openalex.org/W2166742463","https://openalex.org/W4298190105","https://openalex.org/W6666211773","https://openalex.org/W6677018275"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Identifying":[0],"individuals":[1],"in":[2,108],"multi-view":[3],"camera":[4],"network,":[5],"known":[6],"as":[7,24],"person":[8,22],"re-identification,":[9],"becomes":[10],"an":[11],"emerging":[12],"topic":[13],"for":[14],"video":[15],"surveillance.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,38,76],"address":[21],"re-identification":[23],"a":[25,40,59,101],"set-based":[26,41],"classification":[27],"problem":[28],"and":[29,50,68,78,83,113],"introduce":[30],"mutual-information":[31,81],"to":[32,93],"fully":[33],"utilize":[34],"gallery":[35,51],"information.":[36],"Firstly,":[37],"define":[39],"structure":[42],"that":[43],"contains":[44],"pairwise":[45],"features":[46,55],"between":[47,66],"query":[48,95],"image":[49],"images.":[52],"Then":[53],"these":[54],"are":[56],"fed":[57],"into":[58],"set-class":[60],"model,":[61],"which":[62],"exploits":[63],"the":[64,80,84,88,94,106,109],"relationship":[65],"set":[67],"class":[69],"label":[70,86],"(person":[71],"identity)":[72],"using":[73],"mutual-information.":[74],"Finally,":[75],"estimate":[77],"rank":[79],"scores,":[82],"corresponding":[85],"of":[87],"highest":[89],"score":[90],"is":[91],"assigned":[92],"image.":[96],"Our":[97],"method":[98],"has":[99],"gained":[100],"superior":[102],"performance":[103],"compared":[104],"with":[105],"state-of-the-art":[107],"benchmark":[110],"datasets":[111],"i-LIDS":[112],"ETHZ.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}