{"id":"https://openalex.org/W3009138919","doi":"https://doi.org/10.1109/access.2020.2975912","title":"OneShotDA: Online Multi-Object Tracker With One-Shot-Learning-Based Data Association","display_name":"OneShotDA: Online Multi-Object Tracker With One-Shot-Learning-Based Data Association","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3009138919","doi":"https://doi.org/10.1109/access.2020.2975912","mag":"3009138919"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2975912","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975912","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007402.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007402.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101767310","display_name":"Kwangjin Yoon","orcid":"https://orcid.org/0000-0002-7843-631X"},"institutions":[{"id":"https://openalex.org/I4210117582","display_name":"Korea Information System (South Korea)","ror":"https://ror.org/02frmqt72","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210117582"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwangjin Yoon","raw_affiliation_strings":["SI-Analytics Company, Ltd., Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-7843-631X","affiliations":[{"raw_affiliation_string":"SI-Analytics Company, Ltd., Daejeon, South Korea","institution_ids":["https://openalex.org/I4210117582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003627780","display_name":"Jeonghwan Gwak","orcid":"https://orcid.org/0000-0002-6237-0141"},"institutions":[{"id":"https://openalex.org/I119575151","display_name":"Korea National University of Transportation","ror":"https://ror.org/03qqbe534","country_code":"KR","type":"education","lineage":["https://openalex.org/I119575151"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeonghwan Gwak","raw_affiliation_strings":["Department of Software, Korea National University of Transportation, Chungju, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6237-0141","affiliations":[{"raw_affiliation_string":"Department of Software, Korea National University of Transportation, Chungju, South Korea","institution_ids":["https://openalex.org/I119575151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003253618","display_name":"Young-Min Song","orcid":"https://orcid.org/0000-0002-5417-3180"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Min Song","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Gwangju Institute of Science Technology, Gwangju, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5417-3180","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101930515","display_name":"Young-Chul Yoon","orcid":"https://orcid.org/0000-0002-5586-862X"},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Chul Yoon","raw_affiliation_strings":["Robot Center, LG Electronics, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5586-862X","affiliations":[{"raw_affiliation_string":"Robot Center, LG Electronics, Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056743652","display_name":"Moongu Jeon","orcid":"https://orcid.org/0000-0002-2775-7789"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moon-Gu Jeon","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Gwangju Institute of Science Technology, Gwangju, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2775-7789","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5458,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.94130194,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"38060","last_page":"38072"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9900000095367432,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9858999848365784,"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":0.8289189338684082},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7425628900527954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7243324518203735},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6393119096755981},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.603261411190033},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5855708122253418},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5788694620132446},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5674095153808594},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5619494915008545},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5455306768417358},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.47276169061660767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4554559290409088},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4531151056289673},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4518558084964752},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43807631731033325},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4355047941207886},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.43151775002479553},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4119677245616913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3800641596317291},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18808051943778992},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.1174340546131134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8289189338684082},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7425628900527954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7243324518203735},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6393119096755981},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.603261411190033},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5855708122253418},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5788694620132446},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5674095153808594},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5619494915008545},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5455306768417358},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.47276169061660767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4554559290409088},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4531151056289673},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4518558084964752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43807631731033325},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4355047941207886},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.43151775002479553},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4119677245616913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3800641596317291},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18808051943778992},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.1174340546131134},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2975912","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975912","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007402.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:906b48642d084b0995938aa3a97ed43c","is_oa":true,"landing_page_url":"https://doaj.org/article/906b48642d084b0995938aa3a97ed43c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 38060-38072 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2975912","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975912","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09007402.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5159556144","display_name":null,"funder_award_id":"2014-3-00077","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G5273236558","display_name":null,"funder_award_id":"2014-3-00077","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6474525105","display_name":null,"funder_award_id":"2019R1A2C2087489","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6715757864","display_name":null,"funder_award_id":"2017R1D1A1B03036423","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G7725205014","display_name":null,"funder_award_id":"2019R1A2C2087489","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3009138919.pdf","grobid_xml":"https://content.openalex.org/works/W3009138919.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1568122762","https://openalex.org/W2007352603","https://openalex.org/W2016135469","https://openalex.org/W2064675550","https://openalex.org/W2091887928","https://openalex.org/W2111644456","https://openalex.org/W2194775991","https://openalex.org/W2237765446","https://openalex.org/W2291627510","https://openalex.org/W2474389331","https://openalex.org/W2511791013","https://openalex.org/W2579024533","https://openalex.org/W2601450892","https://openalex.org/W2603203130","https://openalex.org/W2739374836","https://openalex.org/W2739491435","https://openalex.org/W2791873344","https://openalex.org/W2798875622","https://openalex.org/W2889935068","https://openalex.org/W2895071559","https://openalex.org/W2900871370","https://openalex.org/W2901405683","https://openalex.org/W2901925479","https://openalex.org/W2913523297","https://openalex.org/W2921601546","https://openalex.org/W2947625203","https://openalex.org/W2953920664","https://openalex.org/W2957073395","https://openalex.org/W2962803115","https://openalex.org/W2963063317","https://openalex.org/W2963313370","https://openalex.org/W2963341924","https://openalex.org/W2963661549","https://openalex.org/W2963834878","https://openalex.org/W2964105864","https://openalex.org/W2967533163","https://openalex.org/W2983227562","https://openalex.org/W3091905774","https://openalex.org/W3099887740","https://openalex.org/W4292692470","https://openalex.org/W6696672603","https://openalex.org/W6703780166","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6763180206","https://openalex.org/W6767279282","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2012200063","https://openalex.org/W4320086059","https://openalex.org/W4210734798","https://openalex.org/W4312249400","https://openalex.org/W2405278583","https://openalex.org/W2985391290","https://openalex.org/W3093712048","https://openalex.org/W3015573086","https://openalex.org/W3159642117","https://openalex.org/W1904671147"],"abstract_inverted_index":{"Tracking":[0],"multiple":[1],"objects":[2,13,39,66,93,98,107],"in":[3,15,68,74,77,109],"a":[4,69,82,110,140],"video":[5,55,111],"sequence":[6,17],"can":[7],"be":[8],"accomplished":[9],"by":[10,40,94],"identifying":[11],"the":[12,16,42,63,87,104,119,144,160,167,176,188,191,208,214,218],"appearing":[14,108],"and":[18,32,181],"distinguishing":[19],"between":[20,38],"them.":[21],"Therefore,":[22,76],"many":[23],"recent":[24],"multi-object":[25],"tracking":[26],"(MOT)":[27],"methods":[28],"have":[29],"utilized":[30],"re-identification":[31],"distance":[33],"metric":[34],"learning":[35,84,121],"to":[36,49,86,132],"distinguish":[37],"computing":[41],"similarity/dissimilarity":[43],"scores.":[44],"However,":[45],"it":[46,149,172,204],"is":[47,71,205],"difficult":[48],"generalize":[50],"such":[51,61],"approaches":[52],"for":[53,153],"arbitrary":[54],"sequences,":[56],"because":[57],"some":[58],"important":[59],"information,":[60],"as":[62],"number":[64,105],"of":[65,103,106,162,169,190,198],"(classes)":[67],"video,":[70],"not":[72],"known":[73],"advance.":[75],"this":[78],"study,":[79],"we":[80],"applied":[81],"one-shot":[83,120],"framework":[85,122],"MOT":[88],"problem.":[89],"Our":[90,128],"algorithm":[91],"tracks":[92],"classifying":[95],"newly":[96,154],"observed":[97],"into":[99],"existing":[100,163],"tracks,":[101],"irrespective":[102],"frame.":[112],"The":[113,184],"proposed":[114,192,209],"method,":[115,171],"called":[116],"OneShotDA,":[117],"exploits":[118],"based":[123,158],"on":[124,159,175,217],"an":[125],"attention":[126],"mechanism.":[127],"neural":[129],"network":[130,145],"learns":[131],"classify":[133],"unseen":[134],"data":[135],"samples":[136],"using":[137],"labels":[138,152],"from":[139],"support":[141],"set.":[142],"Once":[143],"has":[146],"been":[147],"trained,":[148],"predicts":[150],"correct":[151],"received":[155],"detection":[156],"results":[157,185],"set":[161],"tracks.":[164],"To":[165],"analyze":[166],"effectiveness":[168],"our":[170],"was":[173,194],"tested":[174],"MOTchallenge":[177],"benchmark":[178],"datasets":[179],"(MOT16":[180],"MOT17":[182,219],"datasets).":[183],"reveal":[186],"that":[187,207],"performance":[189],"method":[193,210],"comparable":[195],"with":[196],"those":[197],"current":[199],"state-of-the-art":[200],"methods.":[201],"In":[202],"particular,":[203],"noteworthy":[206],"ranked":[211],"first":[212],"among":[213],"online":[215],"trackers":[216],"benchmark.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":10}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
