{"id":"https://openalex.org/W3197081589","doi":"https://doi.org/10.1109/tits.2021.3103601","title":"Deep Correlation Filter Tracking With Shepherded Instance-Aware Proposals","display_name":"Deep Correlation Filter Tracking With Shepherded Instance-Aware Proposals","publication_year":2021,"publication_date":"2021-08-16","ids":{"openalex":"https://openalex.org/W3197081589","doi":"https://doi.org/10.1109/tits.2021.3103601","mag":"3197081589"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2021.3103601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3103601","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5100604722","display_name":"Yanjie Liang","orcid":"https://orcid.org/0000-0002-0384-9099"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanjie Liang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062279616","display_name":"Qiangqiang Wu","orcid":"https://orcid.org/0000-0002-3847-7838"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiangqiang Wu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330533","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-4443-9440"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395059","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-3674-7160"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100604722"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.7685,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73715686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"23","issue":"8","first_page":"11408","last_page":"11421"},"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":0.9854999780654907,"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/T11963","display_name":"Impact of Light on Environment and Health","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8565976619720459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7784931063652039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6502872705459595},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6437217593193054},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6071823835372925},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.586297333240509},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4658423662185669},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4549512267112732},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44084253907203674},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.40937596559524536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35682499408721924},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14811408519744873}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8565976619720459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784931063652039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6502872705459595},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6437217593193054},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6071823835372925},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.586297333240509},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4658423662185669},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4549512267112732},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44084253907203674},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.40937596559524536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35682499408721924},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14811408519744873},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2021.3103601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3103601","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G2143830251","display_name":null,"funder_award_id":"2020J01001","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5449330877","display_name":null,"funder_award_id":"U1605252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6528361795","display_name":null,"funder_award_id":"61872307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8055606312","display_name":null,"funder_award_id":"62071404","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1857884451","https://openalex.org/W1904671147","https://openalex.org/W1955514522","https://openalex.org/W2129587342","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2194002514","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2520477759","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2567305319","https://openalex.org/W2599547527","https://openalex.org/W2609910506","https://openalex.org/W2673818281","https://openalex.org/W2681067697","https://openalex.org/W2743556323","https://openalex.org/W2768024897","https://openalex.org/W2770189358","https://openalex.org/W2770465446","https://openalex.org/W2784746431","https://openalex.org/W2792121015","https://openalex.org/W2794109133","https://openalex.org/W2795210153","https://openalex.org/W2797812763","https://openalex.org/W2798842862","https://openalex.org/W2799058067","https://openalex.org/W2800990595","https://openalex.org/W2801850762","https://openalex.org/W2805792801","https://openalex.org/W2808989867","https://openalex.org/W2896112340","https://openalex.org/W2906516362","https://openalex.org/W2912465472","https://openalex.org/W2917435394","https://openalex.org/W2922332129","https://openalex.org/W2944267801","https://openalex.org/W2954137266","https://openalex.org/W2955983623","https://openalex.org/W2962719749","https://openalex.org/W2962864296","https://openalex.org/W2962995953","https://openalex.org/W2962997029","https://openalex.org/W2963030525","https://openalex.org/W2963051855","https://openalex.org/W2963249584","https://openalex.org/W2963499285","https://openalex.org/W2963534981","https://openalex.org/W2963794146","https://openalex.org/W2964069521","https://openalex.org/W2964111344","https://openalex.org/W2964242925","https://openalex.org/W2968127870","https://openalex.org/W2985509612","https://openalex.org/W2997896013","https://openalex.org/W2998434318","https://openalex.org/W3001584168","https://openalex.org/W3035257046","https://openalex.org/W3035453691","https://openalex.org/W3035571898","https://openalex.org/W3035725297","https://openalex.org/W3046554648","https://openalex.org/W3092514003","https://openalex.org/W3095342686","https://openalex.org/W3101525822","https://openalex.org/W3105214483","https://openalex.org/W6637373629","https://openalex.org/W6679027886","https://openalex.org/W6754805553"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W178060743","https://openalex.org/W2909390414","https://openalex.org/W2511178891","https://openalex.org/W2126676984","https://openalex.org/W2954509079","https://openalex.org/W2141888607","https://openalex.org/W72160640","https://openalex.org/W2753886513","https://openalex.org/W2070920257"],"abstract_inverted_index":{"Visual":[0],"tracking":[1,30,149,173],"is":[2,12],"a":[3,68],"core":[4],"component":[5],"of":[6,99],"intelligent":[7],"transportation":[8],"systems":[9],"and":[10,46,109,138,186],"it":[11],"crucial":[13],"to":[14,40,58,105,112,117,126,132,154,158],"reduce":[15],"or":[16],"avoid":[17],"traffic":[18],"accidents.":[19],"Recently,":[20],"deep":[21,130],"correlation":[22],"filter":[23],"(DCF)":[24],"based":[25,35,198],"trackers":[26,36],"have":[27],"exhibited":[28],"good":[29],"performance.":[31,61,150],"However,":[32],"existing":[33],"DCF":[34,197],"are":[37],"still":[38],"ineffective":[39],"cope":[41],"with":[42,193],"large":[43,54],"scale":[44,87],"variations":[45],"severe":[47,100],"distortions":[48],"(e.g.,":[49],"heavy":[50],"occlusions,":[51],"significant":[52],"deformations,":[53],"rotations,":[55],"etc.),":[56],"leading":[57],"the":[59,85,94,97,134,140,156,160],"inferior":[60],"To":[62],"address":[63],"these":[64],"issues,":[65],"we":[66,103,124,152],"develop":[67],"novel":[69],"DeepCFIAP++":[70,80,190],"tracker,":[71],"which":[72,143,167],"incorporates":[73],"effective":[74],"shepherded":[75],"instance-aware":[76,141,161],"proposals":[77,116,137,162],"into":[78],"DCFs.":[79],"can":[81],"not":[82],"only":[83],"estimate":[84],"target":[86,95],"at":[88],"every":[89],"frame":[90],"but":[91],"also":[92],"re-detect":[93],"in":[96,146,170],"case":[98],"distortions.":[101],"Firstly,":[102],"propose":[104,125,153],"exploit":[106],"both":[107],"color":[108],"edge":[110],"cues":[111],"generate":[113],"complementary":[114],"detection":[115,136],"effectively":[118],"handle":[119],"various":[120],"challenging":[121,179],"scenarios.":[122],"Then,":[123],"utilize":[127],"multi-layer":[128],"target-specific":[129],"features":[131],"rank":[133],"generated":[135],"choose":[139],"proposals,":[142],"will":[144,168],"result":[145,169],"more":[147,171],"robust":[148],"Finally,":[151],"use":[155],"DCFs":[157],"shepherd":[159],"toward":[163],"their":[164],"best":[165],"locations,":[166],"accurate":[172],"results.":[174],"Experimental":[175],"results":[176],"on":[177],"five":[178],"datasets":[180],"(i.e.,":[181],"OTB2013,":[182],"OTB2015,":[183],"VOT2016,":[184],"VOT2017":[185],"UAV20L)":[187],"demonstrate":[188],"that":[189],"performs":[191],"competitively":[192],"several":[194],"other":[195],"state-of-the-art":[196],"trackers.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
