{"id":"https://openalex.org/W3018195301","doi":"https://doi.org/10.1109/tmm.2020.2990064","title":"Intermittent Contextual Learning for Keyfilter-Aware UAV Object Tracking Using Deep Convolutional Feature","display_name":"Intermittent Contextual Learning for Keyfilter-Aware UAV Object Tracking Using Deep Convolutional Feature","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W3018195301","doi":"https://doi.org/10.1109/tmm.2020.2990064","mag":"3018195301"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.2990064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2990064","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5100346324","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-0157-6218"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Li","raw_affiliation_strings":["School of Mechanical Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0157-6218","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105268108","display_name":"Changhong Fu","orcid":"https://orcid.org/0000-0002-9897-6022"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhong Fu","raw_affiliation_strings":["School of Mechanical Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9897-6022","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075562531","display_name":"Ziyuan Huang","orcid":"https://orcid.org/0000-0002-4544-0427"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ziyuan Huang","raw_affiliation_strings":["Advanced Robotics Centre, National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Robotics Centre, National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012360415","display_name":"Yinqiang Zhang","orcid":"https://orcid.org/0000-0002-5423-1774"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yinqiang Zhang","raw_affiliation_strings":["Department of Mechanical Engineering, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5423-1774","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076812698","display_name":"Jia Pan","orcid":"https://orcid.org/0000-0001-9003-2054"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jia Pan","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.524,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.94100612,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"23","issue":null,"first_page":"810","last_page":"822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9936000108718872,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.8577343225479126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6996769905090332},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6108735799789429},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5961450338363647},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5463523864746094},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5078843235969543},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4950501024723053},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4896302819252014},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4271976351737976},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.41399624943733215},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.15178576111793518},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1381319761276245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8577343225479126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6996769905090332},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6108735799789429},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5961450338363647},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5463523864746094},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5078843235969543},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4950501024723053},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4896302819252014},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4271976351737976},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.41399624943733215},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.15178576111793518},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1381319761276245},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.2990064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2990064","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1589568513","display_name":null,"funder_award_id":"61806148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4969905594","display_name":null,"funder_award_id":"22120180009","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W29474918","https://openalex.org/W161114242","https://openalex.org/W182940129","https://openalex.org/W818325216","https://openalex.org/W1597335599","https://openalex.org/W1612645646","https://openalex.org/W1686810756","https://openalex.org/W1857884451","https://openalex.org/W1915599933","https://openalex.org/W1955741794","https://openalex.org/W1963882359","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2051985940","https://openalex.org/W2108598243","https://openalex.org/W2124211486","https://openalex.org/W2139047213","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2162383208","https://openalex.org/W2164278908","https://openalex.org/W2194775991","https://openalex.org/W2214352687","https://openalex.org/W2343187456","https://openalex.org/W2469582947","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2520477759","https://openalex.org/W2556556019","https://openalex.org/W2556867313","https://openalex.org/W2557641257","https://openalex.org/W2599547527","https://openalex.org/W2604701225","https://openalex.org/W2681067697","https://openalex.org/W2738318237","https://openalex.org/W2738816079","https://openalex.org/W2742165450","https://openalex.org/W2776035257","https://openalex.org/W2781948176","https://openalex.org/W2798842862","https://openalex.org/W2807832475","https://openalex.org/W2891969803","https://openalex.org/W2927438889","https://openalex.org/W2940928832","https://openalex.org/W2955983623","https://openalex.org/W2962824803","https://openalex.org/W2962835968","https://openalex.org/W2963173190","https://openalex.org/W2963571423","https://openalex.org/W2963807539","https://openalex.org/W2964069521","https://openalex.org/W2964111344","https://openalex.org/W2964242925","https://openalex.org/W2987346479","https://openalex.org/W3003412316","https://openalex.org/W3003525884","https://openalex.org/W3091131369","https://openalex.org/W3102624093","https://openalex.org/W3123635396","https://openalex.org/W4292363360","https://openalex.org/W6637373629","https://openalex.org/W6683886257","https://openalex.org/W6720898849","https://openalex.org/W6726654379","https://openalex.org/W6736609394","https://openalex.org/W6744201405"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W1679012645","https://openalex.org/W2070318884","https://openalex.org/W1996520289","https://openalex.org/W3140584830","https://openalex.org/W3196371174"],"abstract_inverted_index":{"Visual":[0],"tracking,":[1],"one":[2],"of":[3,40,83,107,138,165,210],"the":[4,81,99,108,117,129,147,163,169,190],"most":[5],"favorable":[6],"multimedia":[7],"applications,":[8],"has":[9],"been":[10],"widely":[11],"used":[12,126],"in":[13,38,198],"unmanned":[14],"aerial":[15,22],"vehicle":[16],"(UAV)":[17],"for":[18,52],"civil":[19],"infrastructure":[20],"monitoring,":[21],"cinematography,":[23],"autonomous":[24],"navigation,":[25],"etc.":[26,91],"Most":[27,134],"existing":[28],"trackers":[29],"utilize":[30],"deep":[31],"convolutional":[32],"feature":[33],"to":[34,76,97,127,144,162],"enhance":[35],"tracking":[36,148,203],"robustness":[37],"scenarios":[39],"various":[41],"appearance":[42],"variation.":[43],"However,":[44],"they":[45],"commonly":[46],"neglect":[47],"speed":[48],"which":[49],"is":[50,74,95,114,125,141],"crucial":[51],"UAV":[53,177,202],"with":[54,67,180],"restricted":[55],"calculation":[56],"resources.":[57],"In":[58],"this":[59],"work,":[60],"a":[61,68,195,208],"novel":[62],"correlation":[63,139],"filter-based":[64],"keyfilter-aware":[65],"tracker":[66,188],"new":[69],"intermittent":[70,151],"context":[71,93,110,136,159,170],"learning":[72,137,152],"strategy":[73,153],"proposed":[75],"efficiently":[77],"and":[78,193,200],"effectively":[79],"alleviate":[80],"problems":[82],"background":[84],"clutter,":[85],"deficient":[86],"description,":[87],"occlusion,":[88],"illumination":[89],"change,":[90],"Specifically,":[92],"information":[94],"utilized":[96],"empower":[98],"filter":[100,140,157],"higher":[101],"discriminating":[102],"ability":[103],"through":[104],"response":[105],"repression":[106],"omnidirectional":[109],"patches.":[111],"Furthermore,":[112],"keyfilter":[113,124],"produced":[115,123],"from":[116],"periodically":[118,167],"selected":[119],"keyframe.":[120],"The":[121],"latest":[122],"restrain":[128],"current":[130],"filter's":[131],"corrupted":[132],"changes.":[133],"importantly,":[135],"implemented":[142],"intermittently":[143],"fully":[145],"increase":[146],"efficiency.":[149],"This":[150],"can":[154],"ensure":[155],"every":[156],"maintain":[158],"awareness":[160],"owing":[161],"restriction":[164],"keyfilter,":[166],"enhancing":[168],"awareness.":[171],"Substantial":[172],"experiments":[173],"on":[174],"three":[175],"challenging":[176,211],"benchmarks":[178],"totally":[179],"213":[181],"image":[182],"sequences":[183],"have":[184],"shown":[185],"that":[186],"our":[187],"surpasses":[189],"state-of-the-art":[191],"results,":[192],"exhibits":[194],"remarkable":[196],"generality":[197],"short-term":[199],"long-term":[201],"tasks":[204],"as":[205,207],"well":[206],"variety":[209],"attributes.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}