{"id":"https://openalex.org/W4321446109","doi":"https://doi.org/10.3233/ica-230702","title":"An improved deep learning architecture for multi-object tracking systems","display_name":"An improved deep learning architecture for multi-object tracking systems","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4321446109","doi":"https://doi.org/10.3233/ica-230702"},"language":"en","primary_location":{"id":"doi:10.3233/ica-230702","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-230702","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://e-archivo.uc3m.es/bitstreams/390213a7-5999-43c9-96b7-8c5483ad1b2c/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042702864","display_name":"Jes\u00fas Urdiales","orcid":"https://orcid.org/0000-0002-8266-8690"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jes\u00fas Urdiales","raw_affiliation_strings":["Intelligent Systems Lab (LSI) Research Group, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Lab (LSI) Research Group, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033354613","display_name":"David Mart\u00edn","orcid":"https://orcid.org/0000-0003-1585-5231"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Mart\u00edn","raw_affiliation_strings":["Intelligent Systems Lab (LSI) Research Group, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Lab (LSI) Research Group, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026614974","display_name":"Jos\u00e9 Mar\u00eda Armingol","orcid":"https://orcid.org/0000-0002-3353-9956"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jos\u00e9 Mar\u00eda Armingol","raw_affiliation_strings":["Intelligent Systems Lab (LSI) Research Group, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Lab (LSI) Research Group, Universidad Carlos III de Madrid, Legan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026614974"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":4.0595,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95278242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"30","issue":"2","first_page":"121","last_page":"134"},"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7941957712173462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7402515411376953},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7123660445213318},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6593089699745178},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6151549220085144},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5868653059005737},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5292854905128479},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5212953090667725},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5179283022880554},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5046707391738892},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49469348788261414},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4880918264389038},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4770854413509369},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4381955862045288},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.43629083037376404},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4358672797679901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3224674463272095},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17994296550750732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941957712173462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7402515411376953},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7123660445213318},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6593089699745178},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6151549220085144},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5868653059005737},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5292854905128479},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5212953090667725},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5179283022880554},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5046707391738892},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49469348788261414},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4880918264389038},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4770854413509369},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4381955862045288},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.43629083037376404},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4358672797679901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3224674463272095},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17994296550750732},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/ica-230702","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-230702","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-article"},{"id":"pmh:oai:e-archivo.uc3m.es:10016/39105","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/39105","pdf_url":"https://e-archivo.uc3m.es/bitstreams/390213a7-5999-43c9-96b7-8c5483ad1b2c/download","source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:e-archivo.uc3m.es:10016/39105","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/39105","pdf_url":"https://e-archivo.uc3m.es/bitstreams/390213a7-5999-43c9-96b7-8c5483ad1b2c/download","source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1320060331","display_name":null,"funder_award_id":"MCIN/AEI/10.13039/50110001103","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G1598597440","display_name":null,"funder_award_id":"MCIN/AEI/10.13039/5011000110","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G1643949827","display_name":null,"funder_award_id":"AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2673196412","display_name":null,"funder_award_id":"PID2019-104793RB-C31","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2969783435","display_name":null,"funder_award_id":"CIN/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G300979063","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3219925899","display_name":null,"funder_award_id":"MCIN/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4126322094","display_name":null,"funder_award_id":"01100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5080475149","display_name":null,"funder_award_id":"10.13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5439341855","display_name":null,"funder_award_id":"P2018/EMT-4362","funder_id":"https://openalex.org/F4320313831","funder_display_name":"Comunidad de Madrid"},{"id":"https://openalex.org/G6378456299","display_name":null,"funder_award_id":"MCIN/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320313831","funder_display_name":"Comunidad de Madrid"},{"id":"https://openalex.org/G661330594","display_name":null,"funder_award_id":"00110","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G6685425346","display_name":null,"funder_award_id":"0011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7266728691","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7535663061","display_name":null,"funder_award_id":"AEI/10.","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8260616629","display_name":null,"funder_award_id":"011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8638682022","display_name":null,"funder_award_id":"10.13039/50110001103","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8684520763","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320313831","display_name":"Comunidad de Madrid","ror":null},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321446109.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1531192956","https://openalex.org/W1857884451","https://openalex.org/W1927470654","https://openalex.org/W1982925187","https://openalex.org/W2020934227","https://openalex.org/W2096733369","https://openalex.org/W2105934661","https://openalex.org/W2108598243","https://openalex.org/W2124781496","https://openalex.org/W2126423185","https://openalex.org/W2127589108","https://openalex.org/W2127923214","https://openalex.org/W2135442311","https://openalex.org/W2141461755","https://openalex.org/W2209193152","https://openalex.org/W2237765446","https://openalex.org/W2252355370","https://openalex.org/W2466476963","https://openalex.org/W2519373641","https://openalex.org/W2579024533","https://openalex.org/W2586537367","https://openalex.org/W2586544123","https://openalex.org/W2592266547","https://openalex.org/W2603203130","https://openalex.org/W2604038546","https://openalex.org/W2612445135","https://openalex.org/W2732719441","https://openalex.org/W2792482170","https://openalex.org/W2890119372","https://openalex.org/W2890773826","https://openalex.org/W2891254924","https://openalex.org/W2895071559","https://openalex.org/W2915772270","https://openalex.org/W2917798885","https://openalex.org/W2942913342","https://openalex.org/W2943331435","https://openalex.org/W2946948417","https://openalex.org/W2955189650","https://openalex.org/W2963051855","https://openalex.org/W2963063317","https://openalex.org/W2963212638","https://openalex.org/W2964015640","https://openalex.org/W2964019074","https://openalex.org/W2992989584","https://openalex.org/W3003423830","https://openalex.org/W3010731933","https://openalex.org/W3019295470","https://openalex.org/W3048749423","https://openalex.org/W3074270321","https://openalex.org/W3081485516","https://openalex.org/W3082062168","https://openalex.org/W3093725102","https://openalex.org/W3094166660","https://openalex.org/W3099166112","https://openalex.org/W3103298250","https://openalex.org/W3104218139","https://openalex.org/W3121039863","https://openalex.org/W3162476243","https://openalex.org/W3187867541","https://openalex.org/W4226044175","https://openalex.org/W4283067291","https://openalex.org/W6628877408","https://openalex.org/W6655473528","https://openalex.org/W6679208599","https://openalex.org/W6703780166","https://openalex.org/W6754280340","https://openalex.org/W6755347651","https://openalex.org/W6791973973"],"related_works":["https://openalex.org/W3192357901","https://openalex.org/W3036286480","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W4237171675","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Robust":[0],"and":[1,26,90,109,119,133],"reliable":[2],"3D":[3,108],"multi-object":[4,164],"tracking":[5,36,165],"(MOT)":[6],"is":[7,30,104],"essential":[8],"for":[9],"autonomous":[10],"driving":[11],"in":[12],"crowded":[13],"urban":[14],"road":[15],"scenes.":[16],"In":[17],"those":[18],"scenarios,":[19],"accurate":[20],"data":[21],"association":[22,51],"between":[23,87],"tracked":[24],"objects":[25],"incoming":[27],"new":[28,92,97],"detections":[29,73,93],"crucial.":[31],"This":[32,113],"paper":[33],"presents":[34],"a":[35,45,62,70,79,100],"system":[37],"based":[38,167],"on":[39,144,168],"the":[40,50,75,83,91,116,145,150,153,172],"Kalman":[41,173],"filter":[42],"that":[43],"uses":[44],"deep":[46,158],"learning":[47,159],"approach":[48,160],"to":[49,106,126,129,134,148],"problem.":[52],"The":[53,156],"proposed":[54,154],"architecture":[55],"consists":[56],"of":[57,72,74,85,152],"three":[58],"neural":[59],"networks.":[60],"First,":[61],"convolutional":[63],"LSTM":[64,102],"network":[65,81,103],"extracts":[66],"spatiotemporal":[67],"features":[68],"from":[69],"sequence":[71],"same":[76],"track.":[77],"Then,":[78],"Siamese":[80],"calculates":[82],"degree":[84],"similarity":[86],"all":[88],"tracks":[89],"found":[94],"at":[95],"each":[96],"frame.":[98],"Finally,":[99],"recurrent":[101],"used":[105],"extract":[107],"bounding":[110],"box":[111],"information.":[112],"model":[114],"follows":[115],"tracking-by-detection":[117],"paradigm":[118],"has":[120],"been":[121],"trained":[122],"with":[123],"track":[124],"sequences":[125],"be":[127],"able":[128],"handle":[130],"missed":[131],"observations":[132],"reduce":[135],"identity":[136],"switches.":[137],"A":[138],"validation":[139],"test":[140],"was":[141],"carried":[142],"out":[143],"Argoverse":[146],"dataset":[147],"validate":[149],"performance":[151],"system.":[155],"developed":[157],"could":[161],"improve":[162],"current":[163],"systems":[166],"classic":[169],"algorithms":[170],"like":[171],"filter.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":7}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2023-02-22T00:00:00"}
