{"id":"https://openalex.org/W2970155583","doi":"https://doi.org/10.1109/icinfa.2018.8812373","title":"Incremental XQDA Metric Learning for Person Reidentification","display_name":"Incremental XQDA Metric Learning for Person Reidentification","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2970155583","doi":"https://doi.org/10.1109/icinfa.2018.8812373","mag":"2970155583"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2018.8812373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2018.8812373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Information and Automation (ICIA)","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/A5101946741","display_name":"Zhao Yang","orcid":"https://orcid.org/0000-0003-4688-1395"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Yang","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, Guangdong, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, Guangdong, P.R. China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001873087","display_name":"Yiqiang Wu","orcid":"https://orcid.org/0000-0003-2824-7702"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Wu","raw_affiliation_strings":["FIST LAB, School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FIST LAB, School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, P.R. China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705358","display_name":"Jun Cheng","orcid":"https://orcid.org/0000-0002-3131-3275"},"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"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Cheng","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, P.R. China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083049952","display_name":"Shaohu Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohu Peng","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, Guangdong, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, Guangdong, P.R. China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336188","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-1817-8213"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, Guangdong, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, Guangdong, P.R. China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067600725","display_name":"Dapeng Tao","orcid":"https://orcid.org/0000-0003-0783-5273"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Tao","raw_affiliation_strings":["FIST LAB, School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FIST LAB, School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, P.R. China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.23560032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"433","last_page":"438"},"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/T11448","display_name":"Face recognition and analysis","score":0.988099992275238,"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":0.9876999855041504,"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/metric","display_name":"Metric (unit)","score":0.8399091958999634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6985385417938232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6217907667160034},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6044265031814575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5792107582092285},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4716604948043823},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4360511302947998},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3420292139053345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20262494683265686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09810277819633484}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.8399091958999634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985385417938232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6217907667160034},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6044265031814575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5792107582092285},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4716604948043823},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4360511302947998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3420292139053345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20262494683265686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09810277819633484},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2018.8812373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2018.8812373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W119849253","https://openalex.org/W166429404","https://openalex.org/W1518138188","https://openalex.org/W1602182271","https://openalex.org/W1887734902","https://openalex.org/W1920259731","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1979260620","https://openalex.org/W1998443077","https://openalex.org/W2014850105","https://openalex.org/W2033453961","https://openalex.org/W2042436258","https://openalex.org/W2046835352","https://openalex.org/W2047632871","https://openalex.org/W2068042582","https://openalex.org/W2089074647","https://openalex.org/W2096306138","https://openalex.org/W2105628133","https://openalex.org/W2106053110","https://openalex.org/W2125889200","https://openalex.org/W2135442311","https://openalex.org/W2150721269","https://openalex.org/W2169495281","https://openalex.org/W2326772079","https://openalex.org/W2341680599","https://openalex.org/W2433217581","https://openalex.org/W2467139031","https://openalex.org/W2531440880","https://openalex.org/W2752491427","https://openalex.org/W2963854696","https://openalex.org/W4317524344","https://openalex.org/W6606760634","https://openalex.org/W6631178364","https://openalex.org/W6636160605","https://openalex.org/W6640035225","https://openalex.org/W6675751002","https://openalex.org/W6678599689","https://openalex.org/W6728374919"],"related_works":["https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2730112582","https://openalex.org/W2788344745","https://openalex.org/W2898732673","https://openalex.org/W2110696645","https://openalex.org/W2062336688","https://openalex.org/W2358580169","https://openalex.org/W2111347279","https://openalex.org/W2982428536"],"abstract_inverted_index":{"Person":[0],"re-identification":[1,95],"is":[2,44,124,150,187],"a":[3,47,65,74,92],"useful":[4,48],"technique":[5],"to":[6,40,45,101,105],"automatically":[7],"match":[8],"observations":[9],"of":[10,32,91,155,201],"the":[11,42,55,71,77,85,89,97,106,112,119,122,139,152,167,173,195,199],"same":[12],"person":[13,145],"cross":[14],"different":[15,18],"times":[16],"and":[17,25,35,68,157,194],"camera":[19],"views.":[20],"It":[21],"attracts":[22],"extensive":[23],"attention":[24],"researches":[26],"in":[27,166,179],"computer":[28],"vision":[29],"community":[30],"because":[31],"its":[33],"application":[34],"challenge.":[36],"An":[37],"effect":[38],"way":[39],"tackle":[41],"problem":[43],"learn":[46],"distance":[49,62],"metric":[50,57,134,143,169,175],"from":[51,70],"training":[52,79,109],"examples.":[53],"Then":[54,172],"learned":[56,98,113],"could":[58,176],"be":[59,102,116,162,177],"used":[60,141],"for":[61,94,144],"calculations":[63],"between":[64],"probe":[66],"image":[67],"images":[69],"gallery.":[72],"For":[73],"real":[75],"application,":[76],"labeled":[78],"samples":[80],"usually":[81,125],"increase":[82],"gradually":[83],"along":[84],"time.":[86],"To":[87],"keep":[88],"performance":[90],"system":[93],"tasks,":[96],"model":[99,114],"needs":[100],"updated":[103,164],"according":[104],"newly":[107],"added":[108],"sets.":[110],"Although":[111],"can":[115,161],"retrained":[117],"with":[118],"whole":[120],"dataset,":[121],"procedure":[123],"time-consuming.":[126],"In":[127],"this":[128],"paper,":[129],"we":[130],"propose":[131],"an":[132,180],"incremental":[133,181],"learning":[135,170],"method":[136,186],"based":[137],"on":[138,189],"widely":[140],"XQDA":[142,168],"re-identification.":[146],"The":[147,183],"key":[148],"idea":[149],"that":[151],"covariance":[153],"matrices":[154],"similar":[156],"dissimilar":[158],"example":[159],"pairs":[160],"effectively":[163],"incrementally":[165],"algorithm.":[171],"final":[174],"deduced":[178],"way.":[182],"proposed":[184,203],"approach":[185],"validated":[188],"two":[190],"public":[191],"available":[192],"datasets,":[193],"experimental":[196],"results":[197],"indicate":[198],"effectiveness":[200],"our":[202],"approach.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}