{"id":"https://openalex.org/W2096533418","doi":"https://doi.org/10.1109/tip.2011.2182520","title":"Adaptive Online Performance Evaluation of Video Trackers","display_name":"Adaptive Online Performance Evaluation of Video Trackers","publication_year":2012,"publication_date":"2012-01-04","ids":{"openalex":"https://openalex.org/W2096533418","doi":"https://doi.org/10.1109/tip.2011.2182520","mag":"2096533418","pmid":"https://pubmed.ncbi.nlm.nih.gov/22231176"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2011.2182520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2182520","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10486/666452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025958097","display_name":"Juan C. SanMiguel","orcid":"https://orcid.org/0000-0002-4999-2851"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. C. SanMiguel","raw_affiliation_strings":["TEC Department, Universidad Aut\u00f3noma de Madrid, 28049 Madrid, Spain. juancarlos.sanmiguel@uam.es","TEC Dept., Univ. Autonoma de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TEC Department, Universidad Aut\u00f3noma de Madrid, 28049 Madrid, Spain. juancarlos.sanmiguel@uam.es","institution_ids":["https://openalex.org/I63634437"]},{"raw_affiliation_string":"TEC Dept., Univ. Autonoma de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004087827","display_name":"Andrea Cavallaro","orcid":"https://orcid.org/0000-0001-5086-7858"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Cavallaro","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","[Sch. of Electron. Eng. & Comput. Sci, Queen Mary, Univ. of London, London, UK]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"[Sch. of Electron. Eng. & Comput. Sci, Queen Mary, Univ. of London, London, UK]","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100660480","display_name":"Jos\u00e9 M. Mart\u00ednez","orcid":"https://orcid.org/0000-0002-2236-1769"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. M. Martinez","raw_affiliation_strings":["TEC Department, Universidad Aut\u00f3noma de Madrid, Madrid, Spain","TEC Dept., Univ. Autonoma de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TEC Department, Universidad Aut\u00f3noma de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]},{"raw_affiliation_string":"TEC Dept., Univ. Autonoma de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1749,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96172501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"5","first_page":"2812","last_page":"2823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9929999709129333,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8298394680023193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7389504313468933},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7175894975662231},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.702937662601471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6762740612030029},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6671504378318787},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6149193644523621},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5466159582138062},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5087171196937561},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4996471405029297},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.435404896736145},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3480660617351532},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.2299841344356537},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1861972212791443},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.14304351806640625}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8298394680023193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389504313468933},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7175894975662231},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.702937662601471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6762740612030029},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6671504378318787},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6149193644523621},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5466159582138062},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5087171196937561},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4996471405029297},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.435404896736145},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3480660617351532},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2299841344356537},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1861972212791443},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.14304351806640625},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2011.2182520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2182520","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:22231176","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22231176","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:dnet:biblosearchi::2ea8ab69d00bf3ce29f56a880c2d71d0","is_oa":true,"landing_page_url":"http://hdl.handle.net/10486/666452","pdf_url":"http://hdl.handle.net/10486/666452","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"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:dnet:biblosearchi::2ea8ab69d00bf3ce29f56a880c2d71d0","is_oa":true,"landing_page_url":"http://hdl.handle.net/10486/666452","pdf_url":"http://hdl.handle.net/10486/666452","source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311061","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846"},{"id":"https://openalex.org/F4320313831","display_name":"Comunidad de Madrid","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2096533418.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W410107069","https://openalex.org/W584635876","https://openalex.org/W1485416717","https://openalex.org/W1964395255","https://openalex.org/W1981710537","https://openalex.org/W2002801017","https://openalex.org/W2031390061","https://openalex.org/W2077240108","https://openalex.org/W2093021097","https://openalex.org/W2099531115","https://openalex.org/W2100654022","https://openalex.org/W2112329933","https://openalex.org/W2114235464","https://openalex.org/W2125907508","https://openalex.org/W2126216268","https://openalex.org/W2129438044","https://openalex.org/W2130375215","https://openalex.org/W2137493099","https://openalex.org/W2140132731","https://openalex.org/W2140997208","https://openalex.org/W2141822239","https://openalex.org/W2147650052","https://openalex.org/W2150000644","https://openalex.org/W2154515382","https://openalex.org/W2155038975","https://openalex.org/W2155541267","https://openalex.org/W2161541201","https://openalex.org/W2163115288","https://openalex.org/W2165737454","https://openalex.org/W2171909552","https://openalex.org/W2546893505","https://openalex.org/W4234502943","https://openalex.org/W4235881750","https://openalex.org/W6629141386","https://openalex.org/W6679473254","https://openalex.org/W6680446241","https://openalex.org/W6682984747"],"related_works":["https://openalex.org/W2062103941","https://openalex.org/W4211133619","https://openalex.org/W1995980025","https://openalex.org/W1522562297","https://openalex.org/W4320086059","https://openalex.org/W4210734798","https://openalex.org/W4312249400","https://openalex.org/W2405278583","https://openalex.org/W2985391290","https://openalex.org/W3093712048"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2],"adaptive":[3],"framework":[4,17,62,126],"to":[5,31],"estimate":[6],"the":[7,25,28,42,45,48,52,60,64,84,87,98,119,124,132],"quality":[8,46],"of":[9,27,44,47,59,66,86,123,134],"video":[10,68],"tracking":[11,79,135,149],"algorithms":[12],"without":[13],"ground-truth":[14],"data.":[15],"The":[16,101],"is":[18,39,54,63,80,94,104],"divided":[19],"into":[20],"two":[21],"main":[22],"stages,":[23],"namely,":[24],"estimation":[26],"tracker":[29,53,110],"condition":[30],"identify":[32],"temporal":[33],"segments":[34],"during":[35],"which":[36],"a":[37,107,112],"target":[38],"lost":[40],"and":[41,73,121,142,144,151],"measurement":[43],"estimated":[49],"track":[50,90],"when":[51],"successful.":[55],"A":[56],"key":[57],"novelty":[58],"proposed":[61,102,125],"capability":[65],"evaluating":[67],"trackers":[69],"with":[70],"multiple":[71,148],"failures":[72],"recoveries":[74],"over":[75,111],"long":[76],"sequences.":[77],"Successful":[78],"identified":[81],"by":[82],"analyzing":[83],"uncertainty":[85],"tracker,":[88],"whereas":[89],"recovery":[91],"from":[92],"errors":[93,150],"determined":[95],"based":[96],"on":[97,106,145],"time-reversibility":[99],"constraint.":[100],"approach":[103],"demonstrated":[105],"particle":[108],"filter":[109],"heterogeneous":[113],"data":[114],"set.":[115],"Experimental":[116],"results":[117],"show":[118],"effectiveness":[120],"robustness":[122],"that":[127],"improves":[128],"state-of-the-art":[129],"approaches":[130],"in":[131],"presence":[133],"challenges":[136],"such":[137],"as":[138],"occlusions,":[139],"illumination":[140],"changes,":[141],"clutter":[143],"sequences":[146],"containing":[147],"recoveries.":[152]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
