{"id":"https://openalex.org/W4417438685","doi":"https://doi.org/10.1109/jiot.2025.3645103","title":"A Multitask Disentanglement Framework Guided by Pedestrian Attributes for Video-Based Clothes-Changing Person Re-Identification in Internet of Things","display_name":"A Multitask Disentanglement Framework Guided by Pedestrian Attributes for Video-Based Clothes-Changing Person Re-Identification in Internet of Things","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W4417438685","doi":"https://doi.org/10.1109/jiot.2025.3645103"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3645103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3645103","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5020865746","display_name":"Hengjie Lu","orcid":"https://orcid.org/0000-0003-2836-7448"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengjie Lu","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2836-7448","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035154394","display_name":"Guangjin Pan","orcid":"https://orcid.org/0000-0002-7385-2613"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Guangjin Pan","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-7385-2613","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024951458","display_name":"Yilin Gao","orcid":"https://orcid.org/0000-0003-4985-4034"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Gao","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4985-4034","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084521046","display_name":"Shugong Xu","orcid":"https://orcid.org/0000-0003-1905-6269"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shugong Xu","raw_affiliation_strings":["Department of Intelligent Science, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1905-6269","affiliations":[{"raw_affiliation_string":"Department of Intelligent Science, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":0.37556274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"5","first_page":"9269","last_page":"9286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8817999958992004,"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":0.8817999958992004,"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":0.03240000084042549,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.029600000008940697,"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/pedestrian","display_name":"Pedestrian","score":0.7437000274658203},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.492900013923645},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.47679999470710754},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46810001134872437},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4226999878883362},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.4120999872684479},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.37929999828338623},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3718999922275543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8583999872207642},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7437000274658203},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.492900013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48559999465942383},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46810001134872437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4528000056743622},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4226999878883362},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.37929999828338623},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37290000915527344},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3718999922275543},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.328900009393692},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.26330000162124634},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3645103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3645103","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2792895487","display_name":null,"funder_award_id":"2022YFB2902002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3467271718","display_name":null,"funder_award_id":"TC220H07D","funder_id":"https://openalex.org/F4320336606","funder_display_name":"National Transgenic Science and Technology Program"},{"id":"https://openalex.org/G5607683557","display_name":null,"funder_award_id":"24DP1501001","funder_id":"https://openalex.org/F4320336652","funder_display_name":"Science and Technology Innovation Plan Of Shanghai Science and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336606","display_name":"National Transgenic Science and Technology Program","ror":null},{"id":"https://openalex.org/F4320336652","display_name":"Science and Technology Innovation Plan Of Shanghai Science and Technology Commission","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],"re-identification":[1,30],"(ReID),":[2],"a":[3,74,137,160,187],"crucial":[4],"technology":[5],"for":[6,18,164,183,191,215],"intelligent":[7,216],"surveillance":[8,25,217],"in":[9,40,102,207,219],"Internet":[10],"of":[11,231],"Things":[12],"(IoT)":[13],"systems,":[14],"aims":[15],"to":[16,36,50,104,127,193],"search":[17],"the":[19,23,37,51,54,86,110,116,129,133,144,172,208,220,227,232],"target":[20],"person":[21,29],"among":[22],"non-overlapping":[24],"cameras.":[26],"Video-based":[27],"clothes-changing":[28],"(VCC-ReID)":[31],"has":[32],"become":[33],"essential":[34],"due":[35],"rich":[38],"information":[39],"videos":[41],"and":[42,56,153,185,229],"its":[43,195],"broad":[44],"applications.":[45],"Because":[46],"clothes":[47,55],"are":[48,59],"attached":[49],"human":[52],"body,":[53],"pedestrian":[57],"features":[58],"highly":[60],"coupled":[61],"when":[62],"extracting":[63],"features,":[64],"making":[65],"VCC-ReID":[66,118,209],"challenging.":[67],"To":[68,142],"solve":[69],"this":[70],"challenge,":[71],"we":[72,123,158],"propose":[73,159],"Multi-Task":[75],"Disentanglement":[76],"Framework":[77,163],"guided":[78],"by":[79],"Pedestrian":[80,92,165],"Attributes":[81],"(MTDF-PAttr),":[82],"whose":[83,169],"core":[84,170],"is":[85,96,136,171],"cross-domain":[87],"attribute":[88,93],"distillation":[89,126],"decoupling":[90],"mechanism.":[91,176],"recognition":[94],"(PAR)":[95],"used":[97],"as":[98],"an":[99,212],"auxiliary":[100,130,196],"task":[101],"MTDF-PAttr":[103,192,202],"guide":[105],"feature":[106],"decoupling,":[107],"thereby":[108],"enhancing":[109],"main":[111],"task,":[112,131,210],"VCC-ReID\u2019s":[113],"performance.":[114],"Since":[115],"existing":[117],"dataset":[119],"lacks":[120],"PAR":[121,140,145,233],"annotations,":[122],"employ":[124],"knowledge":[125],"train":[128],"where":[132],"teacher":[134,146,189],"network":[135,147],"pre-trained":[138],"video-based":[139],"network.":[141,234],"make":[143],"have":[148],"better":[149],"accuracy,":[150],"stronger":[151],"generalization,":[152],"can":[154,178,203,224],"identify":[155],"more":[156],"attributes,":[157],"Multi-Dataset":[161],"Fusion":[162],"Attribute":[166],"Recognition":[167],"(MDFF-PAttr),":[168],"multi-teacher":[173],"collaborative":[174],"self-distillation":[175],"MDFF-PAttr":[177,223],"simultaneously":[179],"use":[180],"multiple":[181],"datasets":[182],"training":[184],"provide":[186],"powerful":[188],"model":[190],"distill":[194],"task.":[197],"Experimental":[198],"results":[199],"demonstrate":[200],"that":[201],"achieve":[204],"state-of-the-art":[205],"performance":[206],"providing":[211],"effective":[213],"method":[214],"systems":[218],"IoT.":[221],"Additionally,":[222],"effectively":[225],"enhance":[226],"accuracy":[228],"generalization":[230]},"counts_by_year":[],"updated_date":"2026-02-21T06:11:54.161237","created_date":"2025-12-17T00:00:00"}
