{"id":"https://openalex.org/W4391547564","doi":"https://doi.org/10.1109/tmm.2024.3362136","title":"STFE: A Comprehensive Video-Based Person Re-Identification Network Based on Spatio-Temporal Feature Enhancement","display_name":"STFE: A Comprehensive Video-Based Person Re-Identification Network Based on Spatio-Temporal Feature Enhancement","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391547564","doi":"https://doi.org/10.1109/tmm.2024.3362136"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3362136","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tmm.2024.3362136","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5011324535","display_name":"Xi Yang","orcid":"https://orcid.org/0000-0002-5791-3674"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Yang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-5791-3674","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101732517","display_name":"Wang Xian","orcid":"https://orcid.org/0009-0008-7207-7564"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Wang","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-7207-7564","affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034601380","display_name":"Liangchen Liu","orcid":"https://orcid.org/0009-0006-1640-8483"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangchen Liu","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0006-1640-8483","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042507268","display_name":"Nannan Wang","orcid":"https://orcid.org/0000-0002-4695-6134"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4695-6134","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]},{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1443-0776","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9953,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92505371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"7237","last_page":"7249"},"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":0.9976999759674072,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.992900013923645,"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":0.8162541389465332},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5752415657043457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.551011323928833},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47694483399391174},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4720239043235779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4570477306842804},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4494200050830841},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4444611668586731},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4156755805015564},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37858811020851135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3506873846054077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162541389465332},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5752415657043457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.551011323928833},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47694483399391174},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4720239043235779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4570477306842804},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4494200050830841},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4444611668586731},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4156755805015564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37858811020851135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3506873846054077},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3362136","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tmm.2024.3362136","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2022121445","display_name":null,"funder_award_id":"U21A20514","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2452297484","display_name":null,"funder_award_id":"QTZX23042","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3453920714","display_name":null,"funder_award_id":"62221005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4297946667","display_name":null,"funder_award_id":"U22A2096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5453829200","display_name":null,"funder_award_id":"62372348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G913836228","display_name":null,"funder_award_id":"62036007","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W1949591461","https://openalex.org/W2130325614","https://openalex.org/W2194775991","https://openalex.org/W2463071499","https://openalex.org/W2511791013","https://openalex.org/W2519803806","https://openalex.org/W2520433280","https://openalex.org/W2585006962","https://openalex.org/W2598634450","https://openalex.org/W2752782242","https://openalex.org/W2779003141","https://openalex.org/W2799185441","https://openalex.org/W2800289127","https://openalex.org/W2888819616","https://openalex.org/W2900348361","https://openalex.org/W2912152775","https://openalex.org/W2944576776","https://openalex.org/W2959022568","https://openalex.org/W2962898677","https://openalex.org/W2963588253","https://openalex.org/W2963736028","https://openalex.org/W2963762690","https://openalex.org/W2963820951","https://openalex.org/W2963901085","https://openalex.org/W2963960612","https://openalex.org/W2964261250","https://openalex.org/W2971612271","https://openalex.org/W2982119297","https://openalex.org/W2986451890","https://openalex.org/W2987748894","https://openalex.org/W2998261716","https://openalex.org/W3001091189","https://openalex.org/W3005825439","https://openalex.org/W3021892279","https://openalex.org/W3034175346","https://openalex.org/W3034417718","https://openalex.org/W3035252826","https://openalex.org/W3036967712","https://openalex.org/W3087359593","https://openalex.org/W3087658752","https://openalex.org/W3092761888","https://openalex.org/W3096748692","https://openalex.org/W3099452143","https://openalex.org/W3105046598","https://openalex.org/W3107901913","https://openalex.org/W3133793254","https://openalex.org/W3139508020","https://openalex.org/W3150226983","https://openalex.org/W3168915470","https://openalex.org/W3175888430","https://openalex.org/W3180143550","https://openalex.org/W3195939161","https://openalex.org/W3204060250","https://openalex.org/W3205959870","https://openalex.org/W3207478986","https://openalex.org/W4214666412","https://openalex.org/W4220906215","https://openalex.org/W4225706465","https://openalex.org/W4231095098","https://openalex.org/W4281932953","https://openalex.org/W4285114530","https://openalex.org/W4297094400","https://openalex.org/W4302276541","https://openalex.org/W4312475827","https://openalex.org/W4317038419","https://openalex.org/W4319996265","https://openalex.org/W4378373476","https://openalex.org/W4379742452","https://openalex.org/W4384080703","https://openalex.org/W4385210901","https://openalex.org/W4385245566","https://openalex.org/W4390874259","https://openalex.org/W4390874394","https://openalex.org/W4393154934","https://openalex.org/W6676231525","https://openalex.org/W6682864246","https://openalex.org/W6735531217","https://openalex.org/W6750984223","https://openalex.org/W6763810570","https://openalex.org/W6766507936","https://openalex.org/W6793592898","https://openalex.org/W6838160470","https://openalex.org/W6838697126"],"related_works":["https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W4298151006","https://openalex.org/W4309346246","https://openalex.org/W2786094008","https://openalex.org/W3131501806","https://openalex.org/W2799683370","https://openalex.org/W2807745940"],"abstract_inverted_index":{"Video-based":[0],"person":[1],"re-identification":[2],"(Re-ID)":[3],"is":[4,156],"designed":[5],"to":[6,31,89,166],"retrieve":[7],"target":[8],"pedestrians":[9],"in":[10],"video":[11,95,118,183,192],"sequences":[12],"under":[13],"non-overlapping":[14],"cameras.":[15],"At":[16],"present,":[17],"mainstream":[18],"approaches":[19],"post-process":[20],"the":[21,26,83,86,203,206],"feature":[22,59,123,144,150],"map":[23],"extracted":[24],"by":[25,173,222],"convolutional":[27],"neural":[28],"network":[29,76],"backbone":[30],"obtain":[32,90,180],"a":[33,37,71,78,121,162,223],"global":[34,139,169],"representation":[35,40],"or":[36],"fine-grained":[38],"local":[39],"for":[41,54,61],"higher":[42],"accuracy.":[43],"However,":[44],"they":[45],"still":[46],"suffer":[47],"from":[48,77,94],"challenges,":[49],"such":[50],"as":[51,161],"information":[52,93,119,134],"loss":[53],"global-based":[55],"methods":[56,88],"and":[57,108,125,201],"spatio-temporal":[58,79,133,149,181],"fragmentation":[60],"local-based":[62],"methods.":[63],"To":[64],"alleviate":[65],"these":[66],"problems,":[67],"this":[68],"article":[69],"proposes":[70],"Spatio-Temporal":[72],"Feature":[73,103],"Enhancement":[74,111],"(STFE)":[75],"comprehensive":[80,92,170,182],"perspective,":[81],"combining":[82,174],"advantages":[84],"of":[85,99,142,205,226],"above":[87],"more":[91,128],"tracklets.":[96],"STFE":[97,178,208],"consists":[98],"two":[100,190],"main":[101],"modules:":[102],"Space":[104],"Projection":[105],"Module":[106,112],"(FSPM)":[107],"Global":[109],"Low-frequency":[110],"(GLEM).":[113],"FSPM":[114,137,175],"mathematically":[115],"converts":[116],"continuous":[117],"into":[120],"discrete":[122],"space":[124],"selectively":[126],"retains":[127],"useful":[129],"information,":[130],"thus":[131],"avoiding":[132,148],"loss.":[135],"Meanwhile,":[136],"applies":[138],"features":[140],"instead":[141],"dividing":[143],"maps":[145],"spatially,":[146],"thereby":[147],"fragmentation.":[151],"In":[152],"addition,":[153],"GLEM":[154],"which":[155,216],"based":[157],"on":[158,189,213],"transformer,":[159],"acts":[160],"broadband":[163],"low-pass":[164],"filter":[165],"mine":[167],"richer":[168],"information.":[171],"Finally,":[172],"with":[176,209],"GLEM,":[177],"can":[179],"representation.":[184],"Extensive":[185],"experiments":[186],"were":[187],"conducted":[188],"widely-used":[191],"Re-ID":[193],"datasets.":[194],"The":[195],"experimental":[196],"results":[197],"verify":[198],"our":[199],"idea":[200],"demonstrate":[202],"effectiveness":[204],"proposed":[207],"95.5%":[210],"Rank-1":[211],"accuracy":[212],"MARS":[214],"benchmarks,":[215],"surpasses":[217],"previous":[218],"<italic":[219],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[220],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">state-of-the-arts</i>":[221],"large":[224],"margin":[225],"+4%.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
