{"id":"https://openalex.org/W2782074958","doi":"https://doi.org/10.1109/tsmc.2017.2784356","title":"A Subspace Learning Approach to Multishot Person Reidentification","display_name":"A Subspace Learning Approach to Multishot Person Reidentification","publication_year":2018,"publication_date":"2018-01-05","ids":{"openalex":"https://openalex.org/W2782074958","doi":"https://doi.org/10.1109/tsmc.2017.2784356","mag":"2782074958"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2017.2784356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2017.2784356","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-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/A5017558628","display_name":"Aihua Zheng","orcid":"https://orcid.org/0000-0002-9820-4743"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aihua Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862066","display_name":"Xuehan Zhang","orcid":"https://orcid.org/0000-0002-9691-5760"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehan Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053609164","display_name":"Bo Jiang","orcid":"https://orcid.org/0000-0002-6238-1596"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372676","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0001-5948-5055"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Luo","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398932","display_name":"Chenglong Li","orcid":"https://orcid.org/0000-0002-7233-2739"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Li","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017558628"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":1.358,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85475034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"50","issue":"1","first_page":"149","last_page":"158"},"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":0.9965999722480774,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.734510064125061},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7223095893859863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6929271221160889},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.6441623568534851},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5647598505020142},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5476745963096619},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5438100099563599},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5210649371147156},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48567068576812744},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47001174092292786},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4390120804309845},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42040693759918213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40910252928733826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.150411456823349},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09939810633659363},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08124646544456482}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.734510064125061},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7223095893859863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6929271221160889},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.6441623568534851},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5647598505020142},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5476745963096619},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5438100099563599},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5210649371147156},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48567068576812744},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47001174092292786},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4390120804309845},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42040693759918213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40910252928733826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.150411456823349},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09939810633659363},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08124646544456482},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2017.2784356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2017.2784356","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G4815291814","display_name":null,"funder_award_id":"61671018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4850170677","display_name":null,"funder_award_id":"61702002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5181292591","display_name":null,"funder_award_id":"61602001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G523880458","display_name":null,"funder_award_id":"61502006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6759379638","display_name":null,"funder_award_id":"1508085QF127","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321435","display_name":"Anhui University","ror":"https://ror.org/05th6yx34"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W166429404","https://openalex.org/W198034206","https://openalex.org/W760855798","https://openalex.org/W1518138188","https://openalex.org/W1596233070","https://openalex.org/W1897123318","https://openalex.org/W1923277897","https://openalex.org/W1949591461","https://openalex.org/W1963444694","https://openalex.org/W1967988963","https://openalex.org/W1968113673","https://openalex.org/W1979260620","https://openalex.org/W1980222719","https://openalex.org/W1989516595","https://openalex.org/W2026901210","https://openalex.org/W2038899696","https://openalex.org/W2041835607","https://openalex.org/W2046835352","https://openalex.org/W2047221353","https://openalex.org/W2050834445","https://openalex.org/W2055233384","https://openalex.org/W2055659915","https://openalex.org/W2059639989","https://openalex.org/W2062104878","https://openalex.org/W2068042582","https://openalex.org/W2069959554","https://openalex.org/W2075779886","https://openalex.org/W2086742208","https://openalex.org/W2087891649","https://openalex.org/W2103972604","https://openalex.org/W2114217318","https://openalex.org/W2134471003","https://openalex.org/W2135674549","https://openalex.org/W2148568366","https://openalex.org/W2156686129","https://openalex.org/W2161969291","https://openalex.org/W2203864774","https://openalex.org/W2204750386","https://openalex.org/W2228002889","https://openalex.org/W2256680489","https://openalex.org/W2293193551","https://openalex.org/W2322739735","https://openalex.org/W2332993427","https://openalex.org/W2346369283","https://openalex.org/W2402395722","https://openalex.org/W2520433280","https://openalex.org/W2963630677","https://openalex.org/W3148981562","https://openalex.org/W6603183647","https://openalex.org/W6639781355","https://openalex.org/W6640971398","https://openalex.org/W6645089675"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"This":[0],"paper":[1,47],"addresses":[2],"the":[3,27,36,66,78,92,98,129,133,144,206],"challenging":[4],"problem":[5],"of":[6,38,68,80,100,110],"multishot":[7,62],"person":[8,63,70,102,130,174],"reidentification":[9],"(Re-ID)":[10],"in":[11],"real":[12],"world":[13],"uncontrolled":[14],"surveillance":[15],"systems.":[16],"A":[17],"key":[18],"issue":[19],"is":[20,137],"how":[21],"to":[22,35,119,127,142,205],"effectively":[23],"represent":[24,128],"and":[25,41,58,96,124,180,186,191,195,200],"process":[26],"multiple":[28],"data":[29],"with":[30,84],"various":[31],"appearance":[32],"information":[33],"due":[34],"variations":[37],"pose,":[39],"occlusions,":[40],"viewpoints.":[42],"To":[43],"this":[44,46,115],"end,":[45],"develops":[48],"a":[49,69,72,88,101,104,108,121],"novel":[50],"subspace":[51],"learning":[52],"approach,":[53],"which":[54],"pursues":[55],"regularized":[56],"low-rank":[57,94,111,123],"sparse":[59,125],"representation":[60],"for":[61,164],"Re-ID.":[64],"For":[65],"images":[67,83,99],"crossing":[71],"certain":[73],"camera,":[74],"we":[75,117],"assume":[76],"that":[77],"appearances":[79],"those":[81],"subset":[82],"similar":[85],"viewpoints":[86],"against":[87],"camera":[89,105,189,192],"draw":[90],"from":[91],"same":[93],"subspace,":[95],"all":[97],"under":[103],"lie":[106],"on":[107,114,150,161,173,182,197],"union":[109],"subspaces.":[112],"Based":[113],"assumption,":[116],"propose":[118],"learn":[120],"nonnegative":[122],"graph":[126],"images.":[131,147],"Moreover,":[132],"recurring":[134],"pattern":[135],"prior":[136],"integrated":[138],"into":[139],"our":[140],"model":[141],"refine":[143],"affinities":[145],"among":[146],"Extensive":[148],"experiments":[149],"four":[151],"public":[152],"benchmark":[153],"datasets":[154],"yield":[155],"impressive":[156],"performance":[157],"by":[158],"improving":[159],"22.9%":[160],"imagery":[162],"library":[163],"intelligent":[165],"detection":[166],"systems":[167],"video":[168,187],"re":[169,201],"identification":[170,202],"(iLIDS-VID),":[171],"42.4%":[172],"RE-ID":[175],"(PRID)":[176],"dataset":[177],"2011,":[178],"39.7%":[179],"30.6%":[181],"speech,":[183],"audio,":[184],"image,":[185],"technology-SoftBio":[188],"3/8":[190],"5/8,":[193],"respectively,":[194],"1.6%":[196],"motion":[198],"analysis":[199],"set":[203],"compared":[204],"state-of-the-art":[207],"methods.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
