{"id":"https://openalex.org/W4395471094","doi":"https://doi.org/10.1109/tnnls.2024.3384446","title":"AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes","display_name":"AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes","publication_year":2024,"publication_date":"2024-04-25","ids":{"openalex":"https://openalex.org/W4395471094","doi":"https://doi.org/10.1109/tnnls.2024.3384446","pmid":"https://pubmed.ncbi.nlm.nih.gov/38662556"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3384446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3384446","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yunhao Li","orcid":"https://orcid.org/0009-0002-9743-7673"},"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/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Li","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","Institute of Software, State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-9743-7673","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Software, State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101304421","display_name":"Zhen Xiao","orcid":"https://orcid.org/0009-0007-4897-7856"},"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/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Xiao","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","Institute of Software, State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Software, State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101343256","display_name":"Lin Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Yang","raw_affiliation_strings":["Turing Quantum Company, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Turing Quantum Company, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101525319","display_name":"Dan Meng","orcid":"https://orcid.org/0000-0003-1980-9283"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Meng","raw_affiliation_strings":["OPPO Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1980-9283","affiliations":[{"raw_affiliation_string":"OPPO Research Institute, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026563221","display_name":"Xin Zhou","orcid":"https://orcid.org/0000-0002-9638-0102"},"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/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","Institute of Software, State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Software, State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047220188","display_name":"Heng Fan","orcid":"https://orcid.org/0000-0002-7033-3690"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Fan","raw_affiliation_strings":["Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-7033-3690","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337161","display_name":"Libo Zhang","orcid":"https://orcid.org/0000-0001-8450-0958"},"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/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libo Zhang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","Institute of Software, State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8450-0958","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Software, State Key Laboratory of Computer Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.635,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84196123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"5454","last_page":"5468"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9948999881744385,"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":0.8296122550964355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6069915294647217},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5694935321807861},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5538880228996277},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5522435307502747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5163575410842896},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.47638124227523804},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.26891255378723145},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16845819354057312},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12802255153656006}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8296122550964355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6069915294647217},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5694935321807861},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5538880228996277},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5522435307502747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5163575410842896},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.47638124227523804},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.26891255378723145},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16845819354057312},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12802255153656006},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3384446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3384446","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38662556","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38662556","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3056771959","display_name":null,"funder_award_id":"2020111","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G4747860684","display_name":null,"funder_award_id":"2021-I2M-C&T-A-011","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":103,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W1945811542","https://openalex.org/W1967988963","https://openalex.org/W1992195312","https://openalex.org/W2105934661","https://openalex.org/W2107775979","https://openalex.org/W2117539524","https://openalex.org/W2121772968","https://openalex.org/W2124781496","https://openalex.org/W2139857301","https://openalex.org/W2150298366","https://openalex.org/W2159011948","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2397830550","https://openalex.org/W2410968923","https://openalex.org/W2431874326","https://openalex.org/W2474389331","https://openalex.org/W2487365028","https://openalex.org/W2511791013","https://openalex.org/W2579024533","https://openalex.org/W2585006962","https://openalex.org/W2585635281","https://openalex.org/W2592051407","https://openalex.org/W2594507094","https://openalex.org/W2603203130","https://openalex.org/W2604463754","https://openalex.org/W2604610666","https://openalex.org/W2739491435","https://openalex.org/W2766984662","https://openalex.org/W2798398701","https://openalex.org/W2798542761","https://openalex.org/W2799107345","https://openalex.org/W2886581236","https://openalex.org/W2889761511","https://openalex.org/W2889935068","https://openalex.org/W2896632102","https://openalex.org/W2913623386","https://openalex.org/W2953920664","https://openalex.org/W2962855257","https://openalex.org/W2963000559","https://openalex.org/W2963049565","https://openalex.org/W2963150697","https://openalex.org/W2963365374","https://openalex.org/W2963557071","https://openalex.org/W2963574614","https://openalex.org/W2963693541","https://openalex.org/W2963901085","https://openalex.org/W2964019074","https://openalex.org/W2964047820","https://openalex.org/W2964238416","https://openalex.org/W2980827638","https://openalex.org/W2985936292","https://openalex.org/W2987191133","https://openalex.org/W3012922853","https://openalex.org/W3028052296","https://openalex.org/W3035410385","https://openalex.org/W3084173793","https://openalex.org/W3084696099","https://openalex.org/W3086436251","https://openalex.org/W3094000868","https://openalex.org/W3095753995","https://openalex.org/W3096068180","https://openalex.org/W3096609285","https://openalex.org/W3099887740","https://openalex.org/W3101408564","https://openalex.org/W3104218139","https://openalex.org/W3104778224","https://openalex.org/W3106763294","https://openalex.org/W3110264553","https://openalex.org/W3115390238","https://openalex.org/W3122239467","https://openalex.org/W3164505485","https://openalex.org/W3187415662","https://openalex.org/W3194247010","https://openalex.org/W3202732536","https://openalex.org/W4205537101","https://openalex.org/W4286904999","https://openalex.org/W4293584584","https://openalex.org/W4312473433","https://openalex.org/W4319866011","https://openalex.org/W4319990521","https://openalex.org/W4385245566","https://openalex.org/W4386076204","https://openalex.org/W4386083103","https://openalex.org/W4386590375","https://openalex.org/W4390872615","https://openalex.org/W4390872934","https://openalex.org/W4403908451","https://openalex.org/W6696672603","https://openalex.org/W6734709911","https://openalex.org/W6745935785","https://openalex.org/W6750227808","https://openalex.org/W6750697433","https://openalex.org/W6760424586","https://openalex.org/W6775253321","https://openalex.org/W6784094891","https://openalex.org/W6788023325","https://openalex.org/W6790690058"],"related_works":["https://openalex.org/W4389065903","https://openalex.org/W2158788032","https://openalex.org/W2385949326","https://openalex.org/W2623195638","https://openalex.org/W1966005655","https://openalex.org/W3135795035","https://openalex.org/W2789220062","https://openalex.org/W2811496562","https://openalex.org/W2094665863","https://openalex.org/W2071984725"],"abstract_inverted_index":{"Multiobject":[0],"tracking":[1,75,183,188],"(MOT)":[2],"is":[3,111],"a":[4,54,77,206],"fundamental":[5],"problem":[6],"in":[7,25,181],"computer":[8],"vision":[9],"with":[10,97,116,217],"numerous":[11],"applications,":[12],"such":[13,29],"as":[14,30],"intelligent":[15],"surveillance":[16],"and":[17,35,41,57,90,102,128,153,163,195,211,228],"automated":[18],"driving.":[19],"Despite":[20],"the":[21,105,112,139,168,174,202,226],"significant":[22],"progress":[23],"made":[24],"MOT,":[26],"pedestrian":[27,62,84,93,129,158],"attributes,":[28,130],"gender,":[31],"hairstyle,":[32],"body":[33],"shape,":[34],"clothing":[36],"features,":[37],"which":[38,134],"contain":[39],"rich":[40],"high-level":[42],"information,":[43],"have":[44],"been":[45],"less":[46],"explored.":[47],"To":[48,104,219],"address":[49],"this":[50],"gap,":[51],"we":[52,120,135,224],"propose":[53],"simple,":[55],"effective,":[56],"generic":[58],"method":[59,146,148,204],"to":[60,64,124,173],"predict":[61],"attributes":[63],"support":[65],"general":[66],"reidentification":[67],"(Re-ID)":[68],"embedding.":[69],"We":[70],"first":[71,113],"introduce":[72],"attribute":[73],"multi-object":[74,182],"(AttMOT),":[76],"large,":[78],"highly":[79],"enriched":[80],"synthetic":[81],"dataset":[82,115],"for":[83],"tracking,":[85],"containing":[86],"over":[87],"80k":[88],"frames":[89],"six":[91],"million":[92],"identity":[94],"switches":[95],"(IDs)":[96],"different":[98,122],"times,":[99],"weather":[100],"conditions,":[101],"scenarios.":[103],"best":[106],"of":[107,141],"authors'":[108],"knowledge,":[109],"AttMOT":[110,169],"MOT":[114,159],"semantic":[117],"attributes.":[118],"Subsequently,":[119],"explore":[121],"approaches":[123],"fuse":[125],"Re-ID":[126],"embedding":[127],"including":[131,161],"attention":[132],"mechanisms,":[133],"hope":[136],"will":[137],"stimulate":[138],"development":[140],"attribute-assisted":[142,147],"MOT.":[143],"The":[144],"proposed":[145,203],"(AAM)":[149],"demonstrates":[150],"its":[151],"effectiveness":[152],"generality":[154],"on":[155,167,200],"several":[156],"representative":[157],"benchmarks,":[160],"MOT17":[162],"MOT20,":[164],"through":[165],"experiments":[166],"dataset.":[170],"When":[171],"applied":[172],"state-of-the-art":[175],"trackers,":[176],"AAM":[177],"achieves":[178],"consistent":[179],"improvements":[180],"accuracy":[184,189,192],"(MOTA),":[185],"higher":[186],"order":[187],"(HOTA),":[190],"association":[191],"(AssA),":[193],"IDs,":[194],"IDF1":[196,213],"scores.":[197],"For":[198],"instance,":[199],"MOT17,":[201],"yields":[205],"+1.1":[207],"MOTA,":[208],"+1.7":[209],"HOTA,":[210],"+1.8":[212],"improvement":[214],"when":[215],"used":[216],"FairMOT.":[218],"further":[220],"encourage":[221],"related":[222],"research,":[223],"release":[225],"data":[227],"code":[229],"at":[230],"https://github.com/HengLan/AttMOT.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
