{"id":"https://openalex.org/W28991756","doi":"https://doi.org/10.1109/tcyb.2017.2755044","title":"\u5927\u962a\u5e9c\u5cb8\u548c\u7530\u5e02\u30fb\u6771\u5cb8\u548c\u7530\u99c5\u6771\u5730\u533a : \u9ad8\u4ed8\u52a0\u4fa1\u5024\u578b\u9ad8\u9f62\u8005\u5411\u3051\u5206\u8b72\u4f4f\u5b85 (\u7279\u96c6 \u9ad8\u9f62\u5316\u793e\u4f1a\u306e\u307e\u3061\u3065\u304f\u308a\u3068\u518d\u958b\u767a\u306b\u3088\u308b\u65bd\u8a2d\u6574\u5099(\u305d\u306e2)) -- (\u518d\u958b\u767a\u306b\u3088\u308b\u9ad8\u9f62\u8005\u65bd\u8a2d\u6574\u5099\u4e8b\u4f8b)","display_name":"\u5927\u962a\u5e9c\u5cb8\u548c\u7530\u5e02\u30fb\u6771\u5cb8\u548c\u7530\u99c5\u6771\u5730\u533a : \u9ad8\u4ed8\u52a0\u4fa1\u5024\u578b\u9ad8\u9f62\u8005\u5411\u3051\u5206\u8b72\u4f4f\u5b85 (\u7279\u96c6 \u9ad8\u9f62\u5316\u793e\u4f1a\u306e\u307e\u3061\u3065\u304f\u308a\u3068\u518d\u958b\u767a\u306b\u3088\u308b\u65bd\u8a2d\u6574\u5099(\u305d\u306e2)) -- (\u518d\u958b\u767a\u306b\u3088\u308b\u9ad8\u9f62\u8005\u65bd\u8a2d\u6574\u5099\u4e8b\u4f8b)","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W28991756","doi":"https://doi.org/10.1109/tcyb.2017.2755044","mag":"28991756"},"language":"en","primary_location":{"id":"mag:28991756","is_oa":false,"landing_page_url":"http://ci.nii.ac.jp/naid/40019470372","pdf_url":null,"source":{"id":"https://openalex.org/S4306548272","display_name":"\u5e02\u8857\u5730\u518d\u958b\u767a","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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"\u5e02\u8857\u5730\u518d\u958b\u767a","raw_type":null},"type":"article","indexed_in":[],"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/A5061848804","display_name":"\u9855\u751f \u6751\u4e0a","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u9855\u751f \u6751\u4e0a","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5028500849","display_name":"\u5229\u548c \u7530\u4e2d","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u5229\u548c \u7530\u4e2d","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00252061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"510","first_page":"11","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.4941999912261963,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.4941999912261963,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.4941999912261963,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.20100000500679016,"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/computer-science","display_name":"Computer science","score":0.29579752683639526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29579752683639526}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:28991756","is_oa":false,"landing_page_url":"http://ci.nii.ac.jp/naid/40019470372","pdf_url":null,"source":{"id":"https://openalex.org/S4306548272","display_name":"\u5e02\u8857\u5730\u518d\u958b\u767a","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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"\u5e02\u8857\u5730\u518d\u958b\u767a","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3500309933","display_name":null,"funder_award_id":"61501413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5305318729","display_name":null,"funder_award_id":"2016AAA015","funder_id":"https://openalex.org/F4320335792","funder_display_name":"Hubei Technological Innovation Special Fund"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7419399470","display_name":null,"funder_award_id":"BK20160386","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7765341655","display_name":null,"funder_award_id":"61671336","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G787444272","display_name":"\u4e09\u7ef4\u97f3\u9891\u57fa\u7840\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61231015","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335792","display_name":"Hubei Technological Innovation Special Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Person":[0],"reidentification":[1],"(re-id),":[2],"as":[3,148],"an":[4],"important":[5],"task":[6],"in":[7,73],"video":[8],"surveillance":[9],"and":[10,50,97,106],"forensics":[11],"applications,":[12],"has":[13],"been":[14],"widely":[15],"studied.":[16],"Previous":[17],"research":[18],"efforts":[19],"toward":[20],"solving":[21],"the":[22,48,62,82,94,112,126,133,142,145,151],"person":[23],"re-id":[24],"problem":[25],"have":[26],"primarily":[27],"focused":[28],"on":[29,47,138],"constructing":[30],"robust":[31],"vector":[32,67,86],"description":[33,64],"by":[34,43],"exploiting":[35],"appearance's":[36],"characteristic,":[37],"or":[38],"learning":[39],"discriminative":[40,108],"distance":[41,83],"metric":[42,84,87],"labeled":[44],"vectors.":[45],"Based":[46],"cognition":[49],"identification":[51],"process":[52,129],"of":[53,93,144],"human,":[54],"we":[55,119],"propose":[56],"a":[57,78,103,107,121],"new":[58],"pattern,":[59],"which":[60,91],"transforms":[61],"feature":[63],"from":[65,85],"characteristic":[66],"to":[68,75,88,110,132],"discrepancy":[69],"matrix.":[70],"In":[71],"particular,":[72],"order":[74],"well":[76],"identify":[77],"person,":[79],"it":[80,117],"converts":[81],"matrix":[89],"metric,":[90],"consists":[92],"intradiscrepancy":[95],"projection":[96,99],"interdiscrepancy":[98],"parts.":[100],"We":[101],"introduce":[102],"consistent":[104],"term":[105,109],"form":[111],"objective":[113],"function.":[114],"To":[115],"solve":[116],"efficiently,":[118],"utilize":[120],"simple":[122],"gradient-descent":[123],"method":[124],"under":[125],"alternating":[127],"optimization":[128],"with":[130,150],"respect":[131],"two":[134],"projections.":[135],"Experimental":[136],"results":[137],"public":[139],"datasets":[140],"demonstrate":[141],"effectiveness":[143],"proposed":[146],"pattern":[147],"compared":[149],"state-of-the-art":[152],"approaches.":[153]},"counts_by_year":[],"updated_date":"2025-07-23T07:19:02.623406","created_date":"2016-06-24T00:00:00"}
