{"id":"https://openalex.org/W2962996864","doi":"https://doi.org/10.1609/aaai.v33i01.33018933","title":"Spatial-Temporal Person Re-Identification","display_name":"Spatial-Temporal Person Re-Identification","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2962996864","doi":"https://doi.org/10.1609/aaai.v33i01.33018933","mag":"2962996864"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018933","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018933","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4921/4794","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4921/4794","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028380963","display_name":"Guangcong Wang","orcid":"https://orcid.org/0000-0002-6627-814X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcong Wang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, China","Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhuang Lai","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021963513","display_name":"Peigen Huang","orcid":"https://orcid.org/0000-0002-3184-6493"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peigen Huang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, China","Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018298892","display_name":"Xiaohua Xie","orcid":"https://orcid.org/0000-0002-0310-4679"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Xie","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":193,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"8933","last_page":"8940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9940000176429749,"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":0.98580002784729,"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/computer-science","display_name":"Computer science","score":0.7533018589019775},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6034955978393555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5728251934051514},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5482892394065857},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5078426003456116},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5020220279693604},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4742797315120697},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44500190019607544},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4244886338710785},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4231763482093811},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.41722536087036133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41655397415161133},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4160754084587097},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34456557035446167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.285844624042511},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2607584595680237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1566769778728485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533018589019775},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6034955978393555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5728251934051514},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5482892394065857},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5078426003456116},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5020220279693604},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4742797315120697},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44500190019607544},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4244886338710785},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4231763482093811},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.41722536087036133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41655397415161133},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4160754084587097},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34456557035446167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.285844624042511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2607584595680237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1566769778728485},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018933","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018933","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4921/4794","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4921","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018933","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018933","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4921/4794","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5164124208","display_name":null,"funder_award_id":"61672544","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5259213742","display_name":null,"funder_award_id":"61573387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962996864.pdf","grobid_xml":"https://content.openalex.org/works/W2962996864.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1949591461","https://openalex.org/W1971955426","https://openalex.org/W1982925187","https://openalex.org/W2204750386","https://openalex.org/W2289130514","https://openalex.org/W2294764595","https://openalex.org/W2300840837","https://openalex.org/W2336626189","https://openalex.org/W2353169560","https://openalex.org/W2520433280","https://openalex.org/W2584637367","https://openalex.org/W2598634450","https://openalex.org/W2604211872","https://openalex.org/W2604463754","https://openalex.org/W2736410039","https://openalex.org/W2739031953","https://openalex.org/W2739491435","https://openalex.org/W2750966862","https://openalex.org/W2751637663","https://openalex.org/W2760299260","https://openalex.org/W2762590610","https://openalex.org/W2768610172","https://openalex.org/W2769925982","https://openalex.org/W2770076563","https://openalex.org/W2789304600","https://openalex.org/W2792373886","https://openalex.org/W2794704438","https://openalex.org/W2796364723","https://openalex.org/W2798550112","https://openalex.org/W2798775284","https://openalex.org/W2900373870","https://openalex.org/W2962830209","https://openalex.org/W2963322158","https://openalex.org/W2963383990","https://openalex.org/W2963438548","https://openalex.org/W2963736028","https://openalex.org/W2963852441","https://openalex.org/W2964130064","https://openalex.org/W2964163358","https://openalex.org/W2964201641","https://openalex.org/W2964304299","https://openalex.org/W2998508940","https://openalex.org/W3099224353","https://openalex.org/W3102668440","https://openalex.org/W4297994432","https://openalex.org/W6687888618","https://openalex.org/W6736429229"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2149980199","https://openalex.org/W2019977573","https://openalex.org/W3125011624","https://openalex.org/W3125766170"],"abstract_inverted_index":{"Most":[0],"of":[1,100,124,133,152],"current":[2],"person":[3,70],"re-identification":[4],"(ReID)":[5],"methods":[6,16,172],"neglect":[7],"a":[8,12,32,50,66,86,104,109,116,174],"spatial-temporal":[9,69,81,111,126],"constraint.":[10],"Given":[11],"query":[13,23],"image,":[14],"conventional":[15],"compute":[17],"the":[18,22,27,37,122,125,128,139,162],"feature":[19],"distances":[20],"between":[21],"image":[24],"and":[25,30,80,136,144,156,165],"all":[26,169],"gallery":[28,38,140],"images":[29,135],"return":[31],"similarity":[33,88],"ranked":[34],"table.":[35],"When":[36],"database":[39],"is":[40,94],"very":[41],"large":[42,175],"in":[43],"practice,":[44],"these":[45],"approaches":[46],"fail":[47],"to":[48,54,96],"obtain":[49],"good":[51],"performance":[52],"due":[53],"appearance":[55],"ambiguity":[56],"across":[57],"different":[58],"camera":[59],"views.":[60],"In":[61],"this":[62,84],"paper,":[63],"we":[64,114],"propose":[65],"novel":[67],"two-stream":[68],"ReID":[71],"(st-ReID)":[72],"framework":[73],"that":[74],"mines":[75],"both":[76],"visual":[77],"semantic":[78],"information":[79,102],"information.":[82],"To":[83,107],"end,":[85],"joint":[87],"metric":[89],"with":[90],"Logistic":[91],"Smoothing":[92],"(LS)":[93],"introduced":[95],"integrate":[97],"two":[98],"kinds":[99],"heterogeneous":[101],"into":[103],"unified":[105],"framework.":[106],"approximate":[108],"complex":[110],"probability":[112],"distribution,":[113],"develop":[115],"fast":[117],"Histogram-Parzen":[118],"(HP)":[119],"method.":[120],"With":[121],"help":[123],"constraint,":[127],"st-ReID":[129,147],"model":[130],"eliminates":[131],"lots":[132],"irrelevant":[134],"thus":[137],"narrows":[138],"database.":[141],"Without":[142],"bells":[143],"whistles,":[145],"our":[146],"method":[148],"achieves":[149],"rank-1":[150],"accuracy":[151],"98.1%":[153],"on":[154,158],"Market-1501":[155],"94.4%":[157],"DukeMTMC-reID,":[159],"improving":[160],"from":[161],"baselines":[163],"91.2%":[164],"83.8%,":[166],"respectively,":[167],"outperforming":[168],"previous":[170],"state-of-theart":[171],"by":[173],"margin.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":46},{"year":2020,"cited_by_count":40},{"year":2019,"cited_by_count":10}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
