{"id":"https://openalex.org/W2942593007","doi":"https://doi.org/10.1155/2019/4539410","title":"Visual Object Tracking in RGB\u2010D Data via Genetic Feature Learning","display_name":"Visual Object Tracking in RGB\u2010D Data via Genetic Feature Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2942593007","doi":"https://doi.org/10.1155/2019/4539410","mag":"2942593007"},"language":"en","primary_location":{"id":"doi:10.1155/2019/4539410","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/4539410","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/4539410.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2019/4539410.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077647626","display_name":"Mingxin Jiang","orcid":"https://orcid.org/0000-0003-0766-5841"},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming-xin Jiang","raw_affiliation_strings":["Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003, China","Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003"],"affiliations":[{"raw_affiliation_string":"Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003, China","institution_ids":["https://openalex.org/I4210153869"]},{"raw_affiliation_string":"Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003","institution_ids":["https://openalex.org/I4210153869"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048755076","display_name":"Xianxian Luo","orcid":"https://orcid.org/0000-0001-5609-557X"},"institutions":[{"id":"https://openalex.org/I169019527","display_name":"Quanzhou Normal University","ror":"https://ror.org/006ak0b38","country_code":"CN","type":"education","lineage":["https://openalex.org/I169019527"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xian-xian Luo","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou 362000, China","Faculty of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou 362000"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou 362000, China","institution_ids":["https://openalex.org/I169019527"]},{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou 362000","institution_ids":["https://openalex.org/I169019527"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107388446","display_name":"Tao Hai","orcid":"https://orcid.org/0000-0002-6156-1974"},"institutions":[{"id":"https://openalex.org/I2799293361","display_name":"Baoji University of Arts and Sciences","ror":"https://ror.org/05nx0xs09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799293361"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Hai","raw_affiliation_strings":["Computer Science Department, Baoji University of Arts and Sciences, Shanxi 721031, China","Computer Science Department, Baoji University of Arts and Sciences, Shanxi 721031"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Baoji University of Arts and Sciences, Shanxi 721031, China","institution_ids":["https://openalex.org/I2799293361"]},{"raw_affiliation_string":"Computer Science Department, Baoji University of Arts and Sciences, Shanxi 721031","institution_ids":["https://openalex.org/I2799293361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354470","display_name":"Haiyan Wang","orcid":"https://orcid.org/0000-0003-2815-0978"},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-yan Wang","raw_affiliation_strings":["Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003, China","Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003"],"affiliations":[{"raw_affiliation_string":"Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003, China","institution_ids":["https://openalex.org/I4210153869"]},{"raw_affiliation_string":"Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003","institution_ids":["https://openalex.org/I4210153869"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025482368","display_name":"Yang Song","orcid":"https://orcid.org/0000-0001-9236-4538"},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Yang","raw_affiliation_strings":["Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003","Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003","institution_ids":["https://openalex.org/I4210153869"]},{"raw_affiliation_string":"Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003, China","institution_ids":["https://openalex.org/I4210153869"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073147993","display_name":"Ahmed N. Abdalla","orcid":"https://orcid.org/0000-0002-8633-1833"},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ahmed N. Abdalla","raw_affiliation_strings":["Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003, China","Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003"],"affiliations":[{"raw_affiliation_string":"Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003, China","institution_ids":["https://openalex.org/I4210153869"]},{"raw_affiliation_string":"Jiangsu Laboratory of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian 223003","institution_ids":["https://openalex.org/I4210153869"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048755076","https://openalex.org/A5077647626"],"corresponding_institution_ids":["https://openalex.org/I169019527","https://openalex.org/I4210153869"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.5108,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68597191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9951000213623047,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7192894220352173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6960030794143677},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.604873538017273},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5920408964157104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5797496438026428},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5640182495117188},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5349805355072021},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4899970591068268},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47521811723709106},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4132838249206543},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"Feature tracking","score":0.412189781665802},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10375833511352539}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7192894220352173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6960030794143677},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.604873538017273},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5920408964157104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5797496438026428},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5640182495117188},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5349805355072021},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4899970591068268},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47521811723709106},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4132838249206543},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.412189781665802},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10375833511352539},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2019/4539410","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/4539410","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/4539410.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:4539410","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2019/4539410.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:aebfedba454f46e6beb93d47a3b6f493","is_oa":true,"landing_page_url":"https://doaj.org/article/aebfedba454f46e6beb93d47a3b6f493","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2019 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2019/4539410","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/4539410","pdf_url":"https://downloads.hindawi.com/journals/complexity/2019/4539410.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1243718259","display_name":null,"funder_award_id":"XYDXX","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G2030376154","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4356940578","display_name":null,"funder_award_id":"2016XYDXXJS-012","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G6830104343","display_name":null,"funder_award_id":"BK20171267","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8899532086","display_name":null,"funder_award_id":"XYDXXJS-012","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G951981631","display_name":null,"funder_award_id":"BRA2018333","funder_id":"https://openalex.org/F4320321605","funder_display_name":"Government of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2942593007.pdf","grobid_xml":"https://content.openalex.org/works/W2942593007.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1565402342","https://openalex.org/W1994623790","https://openalex.org/W2006487034","https://openalex.org/W2089515781","https://openalex.org/W2099998097","https://openalex.org/W2113089599","https://openalex.org/W2125961620","https://openalex.org/W2128705673","https://openalex.org/W2163309385","https://openalex.org/W2238195297","https://openalex.org/W2285041431","https://openalex.org/W2298876498","https://openalex.org/W2400779783","https://openalex.org/W2538789451","https://openalex.org/W2547309019","https://openalex.org/W2554509537","https://openalex.org/W2562852216","https://openalex.org/W2570792985","https://openalex.org/W2584665002","https://openalex.org/W2608825392","https://openalex.org/W2656599720","https://openalex.org/W2745090846","https://openalex.org/W2751422254","https://openalex.org/W2766082725","https://openalex.org/W2772815378","https://openalex.org/W2902032977","https://openalex.org/W6729688932"],"related_works":["https://openalex.org/W2891212077","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Visual":[0],"object":[1,16],"tracking":[2,47,179],"is":[3,17,133,146,161],"a":[4,44,117],"fundamental":[5],"component":[6],"in":[7,24,54,128,141],"many":[8],"computer":[9],"vision":[10],"applications.":[11],"Extracting":[12],"robust":[13],"features":[14],"of":[15,19,70,79,105,120,138],"one":[18],"the":[20,68,87,103],"most":[21],"important":[22],"steps":[23],"tracking.":[25],"As":[26,66],"trackers,":[27],"only":[28],"formulated":[29],"on":[30,50,163],"RGB":[31,129],"data,":[32],"are":[33],"usually":[34],"affected":[35],"by":[36],"occlusions,":[37],"appearance,":[38],"or":[39,130],"illumination":[40],"variations,":[41],"we":[42],"propose":[43],"novel":[45],"RGB\u2010D":[46,159],"method":[48,173],"based":[49],"genetic":[51,73,144],"feature":[52,60,92,106,145],"learning":[53,61,95],"this":[55],"paper.":[56],"Our":[57],"approach":[58],"addresses":[59],"as":[62,135],"an":[63,136,139],"optimization":[64,84],"problem.":[65],"owning":[67],"advantage":[69],"parallel":[71],"computing,":[72],"algorithm":[74],"(GA)":[75],"has":[76,113],"fast":[77],"speed":[78],"convergence":[80],"and":[81,93,111,143,155,167,177],"excellent":[82],"global":[83],"performance.":[85],"At":[86],"same":[88],"time,":[89],"unlike":[90],"handcrafted":[91],"deep":[94],"methods,":[96],"GA":[97],"can":[98],"be":[99,123],"employed":[100],"to":[101,122],"solve":[102],"problem":[104],"representation":[107],"without":[108],"prior":[109],"knowledge,":[110],"it":[112],"no":[114],"use":[115],"for":[116],"large":[118],"number":[119],"parameters":[121],"learned.":[124],"The":[125,157],"candidate":[126],"solution":[127],"depth":[131],"modality":[132],"represented":[134],"encoding":[137],"image":[140],"GA,":[142],"learned":[147],"through":[148],"population":[149],"initialization,":[150],"fitness":[151],"evaluation,":[152],"selection,":[153],"crossover,":[154],"mutation.":[156],"proposed":[158],"tracker":[160],"evaluated":[162],"popular":[164],"benchmark":[165],"dataset,":[166],"experimental":[168],"results":[169],"indicate":[170],"that":[171],"our":[172],"achieves":[174],"higher":[175],"accuracy":[176],"faster":[178],"speed.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}