{"id":"https://openalex.org/W2906228011","doi":"https://doi.org/10.1109/tpami.2018.2889070","title":"Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning","display_name":"Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2906228011","doi":"https://doi.org/10.1109/tpami.2018.2889070","mag":"2906228011","pmid":"https://pubmed.ncbi.nlm.nih.gov/30582527"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2018.2889070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2889070","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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":"https://openalex.org/A5101436628","display_name":"Jin Gao","orcid":"https://orcid.org/0000-0002-8925-5215"},"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/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Gao","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366955","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-2018-1764"},"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/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076090670","display_name":"Junliang Xing","orcid":"https://orcid.org/0000-0001-6801-0510"},"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/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Xing","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061469520","display_name":"Haibin Ling","orcid":"https://orcid.org/0000-0003-4094-8413"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haibin Ling","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"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/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Hu","raw_affiliation_strings":["CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210097554","https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078239319","display_name":"Stephen J. Maybank","orcid":"https://orcid.org/0000-0003-2113-9119"},"institutions":[{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen Maybank","raw_affiliation_strings":["Department of Computer Science and Information Systems, Birkbeck College, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, Birkbeck College, London, United Kingdom","institution_ids":["https://openalex.org/I98259816"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101436628"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":1.1686,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84430796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"42","issue":"4","first_page":"939","last_page":"955"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9912999868392944,"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":0.9710000157356262,"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":0.6578143239021301},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6286451816558838},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6236432790756226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5986385345458984},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5766234397888184},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5244914889335632},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.524059534072876},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5217031836509705},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.504144549369812},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.493689626455307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4416908919811249},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4383160471916199},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43551790714263916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3648374676704407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3473578691482544},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.33909672498703003},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2859439253807068}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6578143239021301},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6286451816558838},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6236432790756226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5986385345458984},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5766234397888184},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5244914889335632},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.524059534072876},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5217031836509705},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.504144549369812},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.493689626455307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4416908919811249},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4383160471916199},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43551790714263916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3648374676704407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3473578691482544},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.33909672498703003},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2859439253807068},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2018.2889070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2889070","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:30582527","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30582527","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:eprints.bbk.ac.uk.oai2:25711","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400466","display_name":"BIROn (Birkbeck, University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98259816","host_organization_name":"Birkbeck, University of London","host_organization_lineage":["https://openalex.org/I98259816"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1137513755","display_name":null,"funder_award_id":"L172051","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G1477894522","display_name":null,"funder_award_id":"61472421","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2753874416","display_name":null,"funder_award_id":"61602478","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4306649430","display_name":null,"funder_award_id":"U1636218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7950449669","display_name":null,"funder_award_id":"61751212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W65486372","https://openalex.org/W134197611","https://openalex.org/W161114242","https://openalex.org/W182940129","https://openalex.org/W818325216","https://openalex.org/W1497265063","https://openalex.org/W1513008779","https://openalex.org/W1653444175","https://openalex.org/W1663973292","https://openalex.org/W1746819321","https://openalex.org/W1807914171","https://openalex.org/W1854404533","https://openalex.org/W1857884451","https://openalex.org/W1915599933","https://openalex.org/W1915785815","https://openalex.org/W1955514522","https://openalex.org/W1955720507","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W2016075127","https://openalex.org/W2016309246","https://openalex.org/W2034801832","https://openalex.org/W2041670293","https://openalex.org/W2044986361","https://openalex.org/W2061736157","https://openalex.org/W2089034209","https://openalex.org/W2089961441","https://openalex.org/W2092841641","https://openalex.org/W2097546612","https://openalex.org/W2098854771","https://openalex.org/W2109579504","https://openalex.org/W2112314277","https://openalex.org/W2117032601","https://openalex.org/W2118097920","https://openalex.org/W2124211486","https://openalex.org/W2130026429","https://openalex.org/W2134407776","https://openalex.org/W2139047213","https://openalex.org/W2139823104","https://openalex.org/W2152322845","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2168356304","https://openalex.org/W2171640106","https://openalex.org/W2183182206","https://openalex.org/W2210145070","https://openalex.org/W2211629196","https://openalex.org/W2214352687","https://openalex.org/W2238128272","https://openalex.org/W2244956674","https://openalex.org/W2330699524","https://openalex.org/W2343187456","https://openalex.org/W2469582947","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2518013266","https://openalex.org/W2518570289","https://openalex.org/W2520477759","https://openalex.org/W2681067697","https://openalex.org/W2767460341","https://openalex.org/W2771430809","https://openalex.org/W2916780012","https://openalex.org/W2951157758","https://openalex.org/W2962824803","https://openalex.org/W2962843811","https://openalex.org/W2963037989","https://openalex.org/W2963249584","https://openalex.org/W2964111344","https://openalex.org/W3102624093","https://openalex.org/W4211049957","https://openalex.org/W4212863985","https://openalex.org/W4240108704","https://openalex.org/W4390806146","https://openalex.org/W6606595081","https://openalex.org/W6607635097","https://openalex.org/W6623108133","https://openalex.org/W6629867248","https://openalex.org/W6636840907","https://openalex.org/W6638399501","https://openalex.org/W6638992375","https://openalex.org/W6641058392","https://openalex.org/W6677907805","https://openalex.org/W6679027886","https://openalex.org/W6680434193","https://openalex.org/W6685023139","https://openalex.org/W6720898849","https://openalex.org/W6726293469"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W4293503520","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655","https://openalex.org/W1994458110"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,34,38],"new":[4],"Gaussian":[5,16],"Processes":[6],"(GPs)-based":[7],"particle":[8,96,109],"filter":[9,157],"tracking":[10,31,183],"framework.":[11,206],"The":[12,75],"framework":[13],"non-trivially":[14],"extends":[15],"process":[17],"regression":[18],"(GPR)":[19],"to":[20,92,121],"transfer":[21,73,167],"learning,":[22],"and,":[23],"following":[24],"the":[25,42,48,52,60,89,104,111,122,127,133,140,152,160,166,175,201,204],"tracking-by-fusion":[26],"strategy,":[27],"integrates":[28],"closely":[29],"two":[30,176],"components,":[32],"namely":[33],"GPs":[35,43,76,141],"component":[36,44,77,129],"and":[37,46,65,68,187,189,194],"CFs":[39,123,128],"one.":[40],"First,":[41],"analyzes":[45],"models":[47],"probability":[49],"distribution":[50],"of":[51,100,154,203],"object":[53,84,182],"appearance":[54,81],"by":[55],"exploiting":[56],"GPs.":[57],"It":[58],"categorizes":[59],"labeled":[61],"samples":[62,71,85],"into":[63],"auxiliary":[64,161],"target":[66],"ones,":[67],"explores":[69],"unlabeled":[70],"in":[72,98,108,190],"learning.":[74],"thus":[78],"captures":[79],"rich":[80],"information":[82],"over":[83],"across":[86],"time.":[87],"On":[88],"other":[90],"hand,":[91],"sample":[93],"an":[94],"initial":[95],"set":[97],"regions":[99],"high":[101],"likelihood":[102],"through":[103],"direct":[105],"simulation":[106],"method":[107],"filtering,":[110],"powerful":[112],"yet":[113],"efficient":[114],"correlation":[115,156],"filters":[116],"(CFs)":[117],"are":[118],"integrated,":[119],"leading":[120],"component.":[124],"In":[125,163],"fact,":[126],"not":[130],"only":[131],"boosts":[132],"sampling":[134],"quality,":[135],"but":[136],"also":[137],"benefits":[138],"from":[139,159],"component,":[142],"which":[143],"provides":[144],"re-weighted":[145],"knowledge":[146],"as":[147],"latent":[148],"variables":[149],"for":[150],"determining":[151],"impact":[153],"each":[155],"template":[158],"samples.":[162],"this":[164],"way,":[165],"learning":[168],"based":[169],"fusion":[170],"enables":[171],"effective":[172],"interactions":[173],"between":[174],"components.":[177],"Superior":[178],"performance":[179],"on":[180],"four":[181],"benchmarks":[184],"(OTB-2015,":[185],"Temple-Color,":[186],"VOT2015/2016),":[188],"comparison":[191],"with":[192],"baselines":[193],"recent":[195],"state-of-the-art":[196],"trackers,":[197],"has":[198],"demonstrated":[199],"clearly":[200],"effectiveness":[202],"proposed":[205]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}